Oxipital AI’s inspection and picking solutions and Stäubli’s hygienic robot were demonstrated at Pack Expo 2024. | Source: Oxipital AI

Oxipital AI, a developer of machine vision technologies for robotic automation and product inspection, is teaming up with Stäubli Robotics. Formerly Soft Robotics, Oxipital is targeting food processing, agriculture, and consumer goods production for its technology.

Stäubli Robotics’ product portfolio contains 4- and 6-axis industrial robots, cobots, mobile robots, and automated guided vehicles. The Duncan, S.C.-based company said its robots can work in a variety of industrial sectors, including automotive, metalworking, photovoltaics, food, pharmaceutical, and more. 

“Stäubli Robotics is honored to become Oxipital AI’s first Preferred Partner,” said Mathias Konne, North American business head at Stäubli Robotics. “This milestone recognizes the previous joint efforts and existing collaboration between our two industry-leading organizations while paving the way for an even brighter and bolder future. With this official recognition, and along with our common partners, we continue to deliver robotic systems offering the highest value and technological advancements to our clients.”

The companies said that by combining Stäubli’s hygienic robots and Oxipital inspection and picking solutions, the two companies can help ensure consistent and food-safe production without depending on human labor for profitability.

“This partnership with Stäubli solidifies our joint efforts in helping manufacturers overcome some of the most difficult challenges in food processing by utilizing AI-enabled vision solutions paired with hygienic, high-speed robotic solutions,” said Harley Green, VP of strategic accounts.

Oxipital AI spins out from Soft Robotics

In August 2024, Soft Robotics divested its soft robotic gripper business and spun off its mGripAI 3D vision and artificial intelligence technologies into Oxipital AI. Oxipital focuses on visual inspection tasks such as defect detection, volume estimation, SKU classification, attribute segmentation, and conveyor counting. It will also on robotic picking in various industries, starting primarily in the food business where Soft Robotics has built its reputation.

Last month, Oxipital AI launched its VX2 Vision System, which uses AI for inspection and high-speed picking applications across food-grade and industrial sectors. Built on the company’s proprietary Visual AI platform, the VX2 comes in a more compact package at a more accessible price than its predecessor.

The VX2 has enhanced capabilities for inspection, high-speed picking, and high-speed picking with inspection, said Oxipital. It asserted that the system ensures optimal efficiency and precision in a wide variety of environments.

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In Episode 176 of The Robot Report Podcast, we feature an interview with venture capitalists Juliette Chevallier, Principle at Scale Ventures, and Jasmeet Singh founder of JMOON Ventures.

It’s VC week here at the podcast.

This episode features interviews with Juliette Chevallier from Scale Ventures and Jasmine Singh from Jay Moon Ventures and covers investment trends in robotics, emphasizing the importance of execution risk over technical risk.

Juliette Chevallier, Principal, Investments, Scale Venture Partners

Juliette Chevallier has a background in autonomous vehicles and robotics, having previously worked at companies like Google Chauffeur (now Waymo) and MIT spinoff Optimus Ride. She joined Scale Venture Partners about 2 years ago to lead their investment thesis on robotics, AI applications, and cybersecurity. Scale Venture Partners’ approach focuses on investing at the point of execution risk rather than technical risk, looking for companies with a working product and proven product-market fit. Juliette emphasizes the importance of understanding the customer ROI and business model as key criteria.

In her role as a VC, Juliette prefers to have a deep, hands-on involvement with portfolio companies, acting as a strategic sounding board and collaborating closely with founders to work through tough problems. She sees her role as helping founders navigate the operational and go-to-market challenges. Juliette notes a renewed interest in robotics from VCs, though she is cautious about some “wild” valuations and funding rounds, preferring bottoms-up market analysis over top-down figures.

Juliette is bullish on the potential of robotics foundation models (RFMs) to drive transformation, emphasizing the need for more multi-modal AI models that integrate vision, action, and communication. She is excited about the possibilities of AI to enhance robotics, but cautions about the risks of AI development burning through funding. Overall, Juliette’s approach focuses on de-risking execution and operational challenges for robotics startups, leveraging her deep technical and business expertise to support founders.

Learn more at: www.scalevp.com/

Jasmeet Singh, Founder, JMOON Ventures

Jasmeet Singh has a diverse background spanning robotics engineering, founding startups, and investing since 2012. As an investor at J Moon Ventures, he focuses on “physical AI” startups – those combining hardware, electronics, and AI in areas like robotics, IoT, and 3D printing.

Jasmeet emphasizes the importance of solving real problems, not just building cool technology. He looks for startups with a strong understanding of the user and business model, noting operational challenges like scaling manufacturing and finding the right business model.
Compared to the more risk-averse Canadian market, Jasmeet sees the US as a better environment for robotics fundraising. He advises founders to target large, underserved problems and focus on customer service and support.

Some of Jasmeet’s investments include Orange Wood Labs, Brisk AI, and Rural Hologram. As he launches J Moon Ventures, he is particularly interested in opportunities in agriculture, construction, medical, and sustainability.

Overall, Jasmeet brings a unique perspective as an investor with deep technical expertise and operational experience in robotics. He is focused on backing founders solving real-world problems with innovative hardware-software solutions.

Learn more at: jmoon.ventures/

Show timeline

• 8:40 – News of the week
• 26:38 – Interview with Juliette Chevallier
• 1:03:00 – Interview with Jasmeet Singh, AKA The Bearded Maker

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News of the week

2025 RBR50 Robotics Innovation Awards open for nominations

You can now submit nominations for the 2025 RBR50 innovation awards. They will recognize technology and business innovations in the calendar year 2024, and the awards are open to any company worldwide that produces robotics or automation.

The categories include:

1. Technologies, products, and services: This category includes primary or applied research focusing on robotics and supporting technologies such as motion control, vision, or machine learning. It also includes new products and business, engineering, or technology services.
2. Business and management: This category covers initiatives positioning a company as a market leader or an organization as an important thought leader in the robotics ecosystem. Significant mergers and acquisitions are relevant, as are supplier, partner, and integrator relationships.
3. Applications and markets: The RBR50 will also recognize innovations that improve productivity, quality, and cost-effectiveness, as well as those that automate new tasks.

In addition, the 2025 RBR50 awards will celebrate the following:

• Startup of the Year
• Application of the Year
• Robot of the Year
• Robots for Good Award

The deadline for submissions is Friday, Dec. 20, 2024.

Podcast sponsored by FlexQube

The show this week is sponsored by FlexQube. Move material with any size, shape, and weight with the FlexQube Navigator AMR, the world’s first multi-purpose and non-load carrying robot.

The FlexQube Navigator AMR features a standardized coupling interface to connect with an ecosystem of different load carriers depending on the customer’s needs.

The system also features a safety-rated identification of load carrier footprint to secure a safe and efficient scale-up of different use cases in a factory or warehouse. 

FlexQube Navigator – robotics that delivers! 

To learn more about FlexQube’s solutions goto: https://www.flexqube.com 

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Trexo Robotics helps children with a variety of needs, including cerebral palsy, spinal muscular atrophy, Rett syndrome and more. | Source: Trexo Robotics

Trexo Robotics has now helped children walk more than 100 million steps with its robotic brace. The device helps children with disabilities gain strength, endurance, and proper gait patterns. Trexo’s brace can help children with a variety of conditions, including cerebral palsy, spinal muscular atrophy, muscular dystrophy, stroke, brain injury, hemi and paraplegia, spinal cord injury, Rett syndrome, neuromuscular conditions, and more. 

The Ontario, Canada-based company was founded in 2016 by CEO Manmeet Maggu and CTO Rahul Udasi to help Maggu’s nephew. Trexo said it customizes the gait of the brace to each user and adjusts this gait over time. The company can adjust the system to accommodate gait pattern changes, the speed of steps, the amount of weight bearing, and the level of support provided. It also offers two operating modes: endurance and strength training to match the child’s needs. 

“For many of these kiddos, they were told they would never take a step. Every single one of these 100 million steps tells a different story—one of courage, progress, and hope,” Maggu said. “This milestone is made up of countless special moments, each representing improved strength, better health, and brighter possibilities.”

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“The 100 million steps milestone was not something I thought about as a goal, we wanted kids to take as many steps as they could. It’s amazing, each kid starting with one step and going after their own goals, has added up to an unbelievable number,” Udasi said.

The company is holding a celebration to mark this accomplishment in Toronto on Dec. 6, 2024. The celebration will honor the children, parents, and community members who have been instrumental. The celebration will include Trexo robotic legs walking on their own, heartfelt speeches, a special surprise from one of the Trexo users, and much more.

Looking ahead, Trexo has its sights set on future milestones. It hopes to reach 500 million steps, which it said is the equivalent of walking to the moon.

“These numbers are mind-boggling, and exciting because of what they mean for the kiddos,” said Jenn Horowitz, head of marketing, Trexo. “For now though, this moment is a time to pause, reflect, and celebrate.”

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Waymo is outsourcing its fleet operations, facilities, and charging infrastructure to its new partner Moove. | Source: Waymo

Waymo is bringing its robotaxis to Miami. In early 2025, the self-driving unit of Alphabet said it will begin testing its all-electric Jaguar I-PACEs on Miami’s streets. Through its new fleet partnership with Moove, Waymo said its Waymo One robotaxi service will be open to riders in Miami in 2026.

Waymo has previously tested its robotaxis in different parts of Florida, including Miami. The company said testing its robotaxis in Florida’s challenging, rainy conditions has been invaluable in advancing its autonomous driving technology. 

“Fully autonomous driving technology offers a safe and convenient option to the people of Miami. I’m so pleased to welcome Waymo to our city,” said Francis X. Suarez, Mayor of Miami. “Waymo’s commitment to sustainability with their all-electric fleet is the perfect mobility option to our city as we continue to prioritize low-cost, clean energy.” 

Waymo has spent 2024 expanding its robotaxis across multiple cities, including San Francisco and Phoenix, where it provides curbside service at Sky Harbor International Airport. It also released its 6th generation robotaxi, equipped with an optimized sensor suite for greater performance at a reduced cost. Waymo also has a robotaxi service in Austin, but there’s a long waitlist, and the service isn’t yet open to everyone.

Most recently, Waymo removed its LA waitlist and opened its service fully to the public. The change occurred eight months after Waymo launched its limited robotaxi service in Los Angeles. In that time, nearly 300,000 people joined its waitlist. In the city, its service area covers Santa Monica, Hollywood Boulevard, USC, and places in between. 

Waymo said it already provides over 150,000 trips per week across Phoenix, Los Angeles, San Francisco, and Austin.

Waymo partners with Moove

Moove is an African mobility fintech that offers vehicle financing to gig workers. This will reportedly be the first time Moove works both in the United States and with an autonomous vehicle company. Moove operates in various cities across Africa, the Middle East, India, and the U.K., and it has raised over $400 million.

Waymo said it will first collaborate with Moove in Phoenix. There, Moove will begin taking on the management of Waymo’s fleet operations, facilities, and charging infrastructure.

“We are excited to partner with Moove in Phoenix and later Miami, bringing together their mobility-focused fleet management experience with our growing Waymo One service,” said Ryan McNamara, VP of operations at Waymo. “Together, we will provide safe, seamless trips for riders, and scale faster and more cost-effectively over time, with safety continuing to lead the way.”

In both Phoenix and Miami, Waymo will continue to offer its service through the Waymo One app. It will also remain responsible for the validation and operation of the Waymo Driver.

“Ride-hailing has transformed urban mobility over the past 15 years, yet the core experience has largely remained unchanged,” said Ladi Delano, co-founder and co-CEO at Moove. “Waymo’s safe, reliable, and convenient Waymo One service leads in autonomous technology, and together, we’re driving a major shift in urban mobility. Moove is proud to partner with Waymo, bringing the operational expertise to make this transformation possible.”

More autonomous vehicle developments

Waymo isn’t the only company hoping to deploy its self-driving technology on U.S. roads. In November, Nuro expanded its driverless capabilities using zero-occupant vehicles with the Nuro Driver system. The company said this expansion covers multiple cities in two states and includes significant operational advancements.

The expanded deployment of autonomous vehicles demonstrates foundational technology for transporting people and goods, asserted Nuro. It plans to expand in Mountain View and Palo Alto, Calif., where the company increased its deployment area by 83%. Nuro also plans to increase its deployment area in Houston by 70%, in terms of linear miles. 

Additionally, Zoox recently expanded its operations in California and Nevada. The company is now testing its robotaxis in San Francisco and expanded its Las Vegas geofence. Zoox is not offering public rides in either city yet, but it hopes to launch its Las Vegas operation in early 2025. 

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AMP ONE is designed to capture billions of dollars in value otherwise lost to landfills or incineration annually. Source: AMP Robotics

AMP Robotics Corp. today said it has  has raised $91 million in corporate equity in a Series D financing. The Louisville, Colo.-based company plans to use its latest funding to accelerate deployment of its AMP ONE systems, which uses artificial intelligence and robotics to sort municipal solid waste, or MSW.

“Recycling rates have stagnated in the United States, despite the positive benefits recycling offers local economies and the environment,” said Matanya Horowitz, founder of AMP. “This latest investment enables us to tackle larger projects and deliver real outcomes for waste companies and municipalities – by lowering sortation costs, capturing more material value, diverting organic waste, and extending landfill life – all while helping the industry optimize its strategic assets.”

Founded in 2014, AMP Robotics said its AI platform has identified 150 billion items and guided the sortation of more than 2.5 million tons of recyclables. The company said its technology can help modernize and change the economics of resource recovery. It has three full-scale facilities and more than 400 AI systems deployed across North America, Asia, and Europe.

From sortation to AMP ONE

AMP Robotics said its AI uses deep learning to continuously train itself by processing millions of material images into data. The software uses pattern recognition of colors, textures, shapes, sizes, and logos to identify recyclables and contaminants in real time, enabling new offtake chemistries and capabilities, it added.

The company noted that its first products were a series of sorting robots deployed with minimal retrofit into existing recycling facilities. AMP then developed facilities that it claimed involve almost no manual sorting, are reliable, and provide “pervasive data.”

“These facilities make the recovery of commodities safer and more cost-effective than ever and have grown to encompass MSW sorting, an offering out of reach to the industry prior to the advent of AMP’s technology,” it said. “AMP ONE provides a full-scale facility solution to sort various material streams and capture more of the billions of dollars in value otherwise lost to landfills or incinerated annually.”

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AMP Robotics marks recent deployments, new CEO

Recycling and Disposal Solutions demonstrated AMP ONE’s ability to cost-effectively sort MWS at its facility  in Portsmouth, Va. It has processed 150 tons per day of local waste with more than 90% uptime, said the company.

Last month, AMP Robotics entered into an agreement with Waste Connections Inc. to equip and operate one of Waste Connections’ single-stream recycling facilities in Colorado. 

“AMP provides meaningfully lower-cost, higher-performance systems to recover commodities and increase landfill diversion, and we’re uniquely positioned to reshape the waste and recycling landscape at a critical time,” said Tim Stuart, CEO of AMP. “We’re grateful to our longstanding and newest investors for their support in helping us chart a new path for sustainable materials management and resource efficiency.”

AMP last month augmented its leadership team with the appointment of Stuart, former chief operating officer for Republic Services Inc. Horowitz transitioned from CEO into the role of chief technology officer.

Congruent Ventures leads round

Congruent Ventures led AMP Robotics’ Series D round. Current and new investors participated, including Sequoia Capital, XN, Blue Earth Capital, Liberty Mutual Investments, California State Teachers Retirement System (CalSTRS), Wellington Management, Range Ventures, and Tao Capital Partners.

“AMP’s AI sortation systems enable consumers to recycle both with and without curbside separation and communities to benefit from the recovery of recycled commodities while reducing dependence on landfills,” added Abe Yokell, co-founder and managing partner of Congruent Ventures. “AMP is an example of the real-world impacts of AI; solutions like AMP’s will divert billions of tons of recyclable material from landfills while reducing emissions.”

Congruent Ventures is a leading early-stage venture firm focused on partnering with entrepreneurs to build companies addressing climate and sustainability challenges. The firm has more than $1 billion in assets under management across early-stage climate tech funds and 59 companies in its portfolio.

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An HSS study tested the effectiveness of robot-assisted and augmented reality surgeries. | Source: Adobe Stock

A study at the Hospital for Special Surgery, or HSS, comparing robot-assisted navigation to the use of augmented reality in spinal surgery found that both techniques demonstrate excellent accuracy and safety for pedicle screw placement.

More than 1.2 million spinal surgeries are performed in the U.S. each year, according to the National Center for Health Statistics. Many of these procedures involve implants called pedicle screws to stabilize the spine, and precise positioning is critical for a successful surgery.

“Compared to conventional free-hand techniques, both robotic-assisted navigation [RAN] and the use of augmented reality [AR] have demonstrated superior accuracy,” said Darren R. Lebl, M.D., MBA. “Our study is the first to directly compare RAN to AR with respect to screw placement precision.”

Lebl is a spine surgeon and director of research at HSS, plus principal investigator of the study. The research was published online in the journal Spine.

HSS is a leading academic medical center focused on musculoskeletal health. Founded in 1863, the New York-based healthcare provider claimed it has the lowest readmission rates in the nation for orthopedics, as well as some of the lowest infection and complication rates.

In addition to patient care, HSS said it supports research, innovation, and education. The HSS Research Institute includes 20 laboratories and 300 staff members focused on advancing musculoskeletal health through the prevention of degeneration, tissue repair, and tissue regeneration.

Darren R. Lebl is a spine surgeon and director of research at HSS. | Source: Hospital for Special Surgery

Robot-assisted surgery and AR offer aid

Over the past decade, numerous robot-assisted navigation and augmented reality systems have emerged for spine surgery.

“In addition to enhanced accuracy, the potential advantages of both technologies include reduced radiation exposure and provide for improved safety in spine surgery,” noted Dr. Lebl. “A growing number of major medical centers nationwide are using at least one of these technologies.”

RAN involves robotic guidance of surgeon-operated instruments. A robotic arm, along with 3D images of the patient’s anatomy and navigation technology similar to GPS, enables the surgeon to perform a minimally invasive procedure that is planned ahead of time on advanced software.

AR-assisted spine surgery superimposes 3D images of a patient’s anatomy onto the surgeon’s visual field during surgery via a headset. A preoperative CT scan of the patient’s spine is used to plan and perform the surgery.

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Study analyzes spinal surgeries

The HSS study included 212 adult spine surgery patients who had a total of 1,211 pedicle screws placed between June 2020 and October 2023. It followed 108 people who received 827 screws using robots and 104 patients who received 384 screws with augmented reality.

They underwent surgery in the lumbar and/or sacral spine for degenerative spinal conditions. One experienced surgeon performed all of the robotic cases, while two other experienced spine surgeons used the AR system.

The position of each pedicle screw was assessed after surgery based on either CT scan or 3D fluoroscopy using the Gertzbein-Robbins classification system, which assigns a grade of A, B, C or D to evaluate accuracy. The HSS researchers considered Grades A and B to be acceptable.

The A rating is assigned to screw placement completely within the pedicle, a bony structure on the vertebra that protects the spinal cord. Grade B, still acceptable, is assigned to a screw that is 2mm (1/16 inch) outside of the desired location. In the study, any screw with a Grade C or D would be deemed unacceptable.

After surgery, two independent spine surgeons assigned a grade to all the pedicle screws. The study found no significant difference between robot-assisted and AR screw placement in terms of accuracy, with 99.6% of RAN screws rated as Grade A or B, and 98.7% of AR screws classified as A or B. Overall, 92.6% of the screws achieved the top Grade A rating.

“Our results confirmed excellent accuracy for both techniques, making both robotics and AR safe tools for accurate positioning of lumbosacral pedicle screws,” Dr. Lebl said. “However, a higher rate of Grade A screws was seen in the RAN group, potentially highlighting superior precision for robotics.”

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The MPXS micro vacuum pump puts the features of COVAL’s intelligent vacuum pumps into a smaller physical space. | Source: COVAL

COVAL SAS, a designer, producer, and marketer of vacuum components and systems, has released its latest micro vacuum pump, the MPXS. The Montélier, France-based company said it designed the pump to be pilot-controlled, ultra-compact, and equipped with high-performance communication capabilities. 

The new MPXS series is intended to provide manufacturers with an efficient tool for handling non-porous parts at high speeds on robots or automated systems, said COVAL. The micro vacuum pump follows the design principles of the company‘s intelligent vacuum pumps, which COVAL said are energy-efficiency, high-performance, and communications I/O.

With a width of just 12.5 mm (0.4 in.) and a weight of only 87 g (3 oz.), the company said the MPXS is the smallest vacuum pump it has created. This size means it can be installed as close as possible to suction cups or inside restricted spaces for reduced pick-up time with no loss of load, guaranteeing high speeds.

COVAL is an ISO 9001 V2015-certified company that specializes in vacuum handling systems for multiple industries. It has clients in fields including packaging, automotive, food processing, plastic processing, and aeronautics. COVAL markets its products and services internationally through its subsidiaries and its network of authorized distributors.

More details about the MPXS

Thanks to single-stage Venturi technology, MPXS series micro vacuum pumps can quickly reach a maximum vacuum of 85%. This makes it suited to dynamic applications requiring very short cycle times. 

COVAL said the two power levels of 0.53 and 0.92 SCFM add to the system’s versatility and enable it to adapt to the needs of each application.

The MPXS also provides the user with useful information at every stage of operation. COVAL said it equipped the system with a human-machine interface (HMI) that makes it easy to read operating, diagnostic, and maintenance information. It also enables rapid parameter setting.

In addition, the integrated IO-Link communication interface supports fast, cost-effective installation, continuous diagnostics, centralized parameter setting, and efficient communication with higher-level protocols such as EtherNet/IP, PROFINET, and EtherCAT.

MPXS micro vacuum pumps feature air-saving control (ASC) technology. COVAL said it intelligently regulates vacuum generation, enabling energy savings of 90% on average by stopping air consumption once the desired vacuum level has been reached.

The modularity of the MPXS series offers a wide choice of configurations, ensuring flexibility during installation and use. It is available as stand-alone modules or in islands of up to eight modules, with standard or powerful adjustable blower options.

COVAL said the MPXS micro vacuum pump’s small size, high performance, and wide range of functions and configurations make it suitable for industrial applications requiring high speeds. These include high-speed pick-and-place systems, robot manipulators, and automated production. It is especially useful for the plastics, electronics, and pharmaceutical industries, according to the company.

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Wing says its drone logistics systems are lightweight, lab-tested, and real-world approved through 350,000+ commercial deliveries across three continents. | Source: Wing

In a world where convenience and promptness are crucial, customers expect quicker deliveries. Consequently, businesses have been compelled to reconsider their plans to find more economical and effective methods, including drone logistics. 

In addition, a recent survey found that 80.5% of companies reported enhanced revenue figures after implementing same-day delivery. 

Drone integration into distribution and transportation systems is one of the most exciting developments in this field. The way businesses transport their goods could be drastically changed by these autonomous flying machines, particularly in the last mile, which can account for as much as 50% of overall logistical expenses.

The number of packages delivered by drone increased by more than 80.1% from the year 2021 to 2022, reported McKinsey & Co. It said they reached almost 875,100 deliveries globally. 

Drones can enhance the logistics and transportation sectors, where efficiency, speed, and cost-effectiveness are paramount. Traditional trucks often struggle with last-mile delivery, facing bottlenecks in urban areas, costly infrastructure, and supply chain delays.

However, drones promise rapid, direct delivery of goods to remote or hard-to-reach locations. For robotics developers, this represents an opportunity to create cutting-edge autonomous systems that can help solve to age-old problems like congestion, delays, and high operational costs. 

These drones use advanced AI, machine learning, and GPS technology to navigate and deliver packages autonomously. Uncrewed aerial vehicles (UAVs) reaching up to 80 kph (50 mph) are cutting down delivery times from hours to mere minutes.

What makes drones particularly innovative is their ability to operate in complex environments. They can fly over traffic jams, reach isolated rural locations, and even work in adverse weather conditions, all while providing real-time tracking and monitoring of goods in transit. This not only reduces the time and cost of last-mile delivery but also enhances the accuracy of deliveries, increasing customer satisfaction. 

Applications in drone logistics and transportation

1. Last-mile delivery: Companies like Wing and Flytrex are focusing on autonomous drones for last-mile delivery in urban and suburban settings. Drones are capable of delivering small packages, food, and even medical supplies. The World Economic Forum predicts that by 2030, last-mile deliveries could rise by 78% worldwide.
2. Healthcare logistics: Innovators such as Zipline have already demonstrated the success of drones in delivering medical supplies, including vaccines, blood, and medication, in remote regions. Drones can also deliver small packages or food. Zipline said that millions of patients benefited from the tens of millions of medical supplies it has delivered in the last three years alone. Zipline has made more than a million autonomous commercial flights that covered more than 145,000,000 km (90,000,000 mi.).
3. Warehouse automation: Operations are using drones from providers such as those of Gather AI for inventory management and transportation of goods across large facilities. Such businesses have reported inventory accuracy rates of above 99%, according to Research Nester. Robotics suppliers are creating systems that can pick up and transport packages autonomously, improving warehouse operations and reducing human labor costs. 
4. Freight transport: Matternet has been developing drone systems for larger-scale freight transport, allowing for intercity and even cross-border deliveries. This can significantly reduce the cost and time associated with traditional ground transportation. 

On all these factors, the drone logistics and transportation market is experiencing rapid growth driven by advancements in autonomous technologies and the increasing demand for efficient, cost-effective deliveries. This market spans various sectors, including retail, e-commerce, healthcare, and industrial logistics, including drones for last-mile delivery, medical supply transport, and inventory management. 

Research Nester estimated the size of the drone logistics and transportation market at $1.3 billion in 2024 and is expected to reach $275.8 billion by the end of 2037, growing at a compound annual growth rate (CAGR) of 51% from 2025 to 2037. 

The integration of drones into supply chains can reduce delivery times, lower costs, and address logistics challenges in remote or congested areas. With supportive regulatory developments and technological innovation, the market is poised to transform global transportation and logistics networks.

According to a PwC survey, 79% of consumers are likely to select drone delivery due to its effectiveness and quickness, indicating that this technology is becoming more widely accepted.

Robotics development for the future of drone logistics

For robotics developers, the drone logistics sector presents an exciting frontier. The future of drone transportation hinges on further advancements in AI, sensor technology, and autonomous flight systems. Developers are tasked with improving:

• Autonomy and navigation: AI algorithms must continue to evolve to handle increasingly complex environments. Drones will need to navigate dynamic, high-traffic areas with minimal human oversight. 
• Battery efficiency: Longer flight times and more substantial payload capacities are critical. Future drone systems will need innovations in battery technology to handle heavier loads and cover greater distances. 
• Regulatory compliance: The evolving regulatory landscape poses a challenge. Developers must ensure drones are a challenge. Developers must ensure drones comply with FAA regulations, including beyond visual line-of-sight (BVLOS) and operational safety standards. 
• Swarm technology: The ability to have multiple drones communicate and work together as a swarm opens up the potential for large-scale logistics operations. Swarm technology could allow for a more synchronized delivery system, expanding to industrial and city-wide transportation systems. 

The drone logistics and transportation market is at the intersection of cutting-edge robotics development and the logistics industry’s need for speed and efficiency. The market is evolving quickly, and vendors like Zipline, Wing, and Matternet are already demonstrating how drones can revolutionize supply chains, healthcare delivery, and urban transportation.

For robotics developers, this market presents opportunities to push the boundaries of AI, autonomy, and flight technology. As regulatory challenges are addressed and technology continues to mature, drone logistics looks set to redefine the way goods are transported worldwide, offering immense potential for developers, suppliers, and end users alike.

About the author

Deboleena Dutta currently works as a junior content writer at Research Nester. A biotech engineer by training, she ventured into the field of writing and has enhanced her skills in business writing, research, and editing. Being a bibliophile has helped her play with words in her profession as a content writer.

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The new M16 connectors have been redesigned to be modular and easier to handle. Source: binder

For demanding environments, Binder USA LP has introduced a new generation of molded M16 connectors, which it said are engineered to deliver reliability and performance even in the harshest conditions. The M16 circular connectors are designed for applications ranging from heavy-duty machinery like construction cranes and excavators to precision-driven laboratory equipment.

These connectors must meet diverse requirements, ensuring stable and reliable connections in extreme conditions, such as freezing temperatures and exposure to dirt and dust. To address these challenges, they must combine high electrical performance with durability and resilience, noted Camarillo, Calif.-based binder.

binder redesigns connectors to be modular

binder said it has completely redesigned its latest generation of molded M16 connectors. The previous version included many existing parts from field-wireable connectors, not all of which were ideal for the molded version, the company explained.

With an expanding portfolio and increasing demand, the company said it decided to fundamentally redesign the product to use a modular system, enabling many common parts between the unshielded and shielded variants.

“A key feature of the new connector design is the reduction in components,” said Sebastian Ader, product manager at binder. “Thanks to the modular system, we only need one additional part for the shielded and unshielded variants. This allows us to produce much more efficiently, offering cost advantages to customers without compromising on quality.”

Developing the new M16 connector was particularly challenging, said binder, because it had to comply with both the M16 standard (DIN EN 61076-2-106) and the stringent AISG standard (for the eight-pin shielded variant) in terms of IP68 sealing and compatibility between different manufacturers.

By optimizing the sealing system, the new M16 system resolves compatibility problems that have previously led to insufficient sealing, the company said. It added that the new generation of connectors is lead-free, meeting the EU RoHS2 Directive 2011/65/EU, including 2015/863/EU.

M16 suitable for industrial, field applications

When redesigning the M16 molded connectors, binder said it paid particular attention to applications in industrial machinery, camera systems, and pressure sensors. These areas require maximum electrical reliability, and therefore a robust connector system that functions under difficult operating conditions, it noted.

“Crane and excavator applications are a good example. Here, fixed-plug connections are required,” said Ader. “Particularly in critical moments, such as when lifting heavy loads, it is important that the connectors not only fit securely, but are also quick and easy to use.”

A triangular design is intended to make the new M16 connectors are easy to handle, even in sub-zero temperatures or when wearing gloves, for example.

“The new triangular design not only makes handling easier, but it also minimizes dirt-prone areas and undercuts, which enables use even in very harsh and demanding environments,” Ader said. “The new connectors can be reliably mated, unmated and locked at any time.’

The molded M16 connectors also meet requirements for shock resistance, vibration tolerance, and tightness, said binder. “In summary, the robust design ensures a reliable connection in extreme temperatures, dirt, and moisture, minimizes the risk of failure, and ensures the continuous operational readiness of the machines,” it asserted.

“With the molded M16 connector, we have succeeded in meeting market demands in terms of technical properties, handling, and price,” Ader said. “All this makes our solution a future-proof choice for demanding industrial applications.”

About binder

Binder USA LP is a subsidiary of binder Group, a leading global manufacturer of circular connectors, custom cord sets, and LED lights. The company‘s products are used worldwide in industrial environments for factory automation, process control, and medical technology applications.

Binder said its technical innovations meet the highest standards of quality and reliability. The company’s quality management system is ISO 9001 and 14001-certified, but binder said its solution-focused approach to customer applications and commitment to service differentiate it from the competition.

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Sperm whales spend, on average, 10 minutes of every hour on the surface, presenting challenges for researchers studying them. | Source: Amanda Cotton/Project CETI

In the chilly waters off the New England coast, researchers from the Cetacean Translation Initiative, Project CETI, can spend hours searching and waiting for an elusive sperm whale to surface. During the minutes the whales spend above water, the researchers need to gather as much information as possible before the animals dive back beneath the surface for long periods.

With one of the widest global distributions of any marine mammal species, these whales are difficult to track down, and even more difficult to learn from. Project CETI aims to use robotics and artificial intelligence to decode the vocalizing of sperm whales. It recently released research about how it tracks down sperm whales across the wide ocean.

“The ocean and the natural habitat of the whales is this vast place where we don’t have a lot of infrastructure, so it’s hard to build infrastructure that will always be able to observe the whales,” said Stephanie Gil, an assistant professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and an advisor on the project.

The project brings together some of the world’s leading scientists in biology, linguistics, robotics, and more. The founder of Project CETI, David Gruber, estimated that it’s one of the largest multi-disciplinary research projects active today.

“Project CETI was formed in March 2020, and we’re now over 50 scientists across eight different disciplines,” he said. “I think we’re over 15 institutions, which I believe puts us as one of the most interdisciplinary, large-scale science projects that’s ever been conducted. It’s incredibly rewarding to see so many disciplines working together.”

Project CETI shares latest research

The researchers at the nonprofit organization have developed a reinforcement learning framework that uses autonomous drones to find sperm whales and predict where they will surface. The paper, published in Science Robotics, said it’s possible to predict when and where a whale may surface using various sensor data and predictive models of sperm whale dive behavior.

This new study involved various sensing devices, such as Project CETI aerial drones with very high frequency (VHF) signal sensing capability that use signal phase along with the drone’s motion to emulate an “antenna array in the air” for estimating the direction of pings from CETI’s on-whale tags.

“There are two basic advantages of [VHF signals]. One is that they are really low power, so they can operate for a really, really long time in the field, like months or even years. So, once those small beacons are deployed on the tag, you don’t have to really replace the batteries,” said Ninad Jadhav, a co-author on the paper and a robotics and engineering Ph.D. student at Harvard University.

“The second thing is these signals that these tags transmit, the VHF, are very high-frequency signals,” he added. “They can be detected at really long ranges.”

“That’s a really huge advantage because we never know when the whales will surface or where they will surface, but if they have been tagged before, then you can sense, for example, simple information such as the direction of the signal,” Jadhav told The Robot Report. “You can deploy an algorithm on the robot to detect that, and that gives us an advantage of finding where the whales are on the surface.”

Sperm whales present unique challenges for data collection

From left to right: Stephanie Gil, Sushmita Bhattacharya, and Ninad Jadhav. | Source: Stu Rosner

“Sperm whales are only on the surface for about 10 minutes every hour,” said Gil. “Other than that, they’re diving pretty deep in the ocean, so it’s hard to access information about what the whales are actually doing. That makes them somewhat elusive for us and for science.”

“Even we humans have certain patterns day to day. But if you’re actually out observing whales on a particular day, their behavior is not going to exactly align with the models, no matter how much data you’re using to make those models right. So it’s very difficult to really predict with precision when they might be coming up,” she continued.

“You can imagine, if [the scientists] out on the water for days and days, only having a few encounters with the whales, we’re not being that efficient. So this is to increase our efficiency,” Gruber told The Robot Report.

Once the Project CETI researchers can track down the whales, they must gather as much information as possible during the short windows of time sperm whales spend on the surface.

“Underwater data collection is quite challenging,” said Sushmita Bhattacharya, a co-author on the paper and a computer science and robotics Ph.D. student at Harvard University. “So, what is easier than underwater data collection is to have data collected when they’re at the surface. We can leverage drones or shallow hydrophones and collect as much data as possible.”

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Developing the AVATARS framework

At the center of the research is the Autonomous Vehicles for Whale Tracking And Rendezvous by Remote Sensing, or AVATARS framework. AVATARS is the first co-development of VHF sensing and reinforcement learning decision-making for maximizing the rendezvous of robots and whales at sea.

“We tried to build up a model which would kind of mimic [sperm whale] behavior,” Bhattacharya said of AVATARS. “We do this based on the current information that we gather from the sparse data set.”

Being able to predict when and where the whales will surface allowed the researchers to design algorithms for the most efficient route for a drone to rendezvous with—or encounter—a whale at the surface. Designing these algorithms where challenging on many levels, the researchers said.

“Probably the hardest thing is the fact that it is such an uncertain problem. We don’t have certainty at all in [the whales’] positions when they’re underwater, because you can’t track them with GPS when they’re underwater,” Gil said. “You have to think of other ways of trying to track them, for example, by using their acoustic signals and an angle of arrival to their acoustic signals that give you a rough idea of where they are.”

“Ultimately, these algorithms are routing algorithms. So you’re trying to route a team of robots to be at a particular location in the environment, in the world, at a certain given time when it’s necessary to be there,” she told The Robot Report. “So this is analogous to something like rideshare.”

Before bringing the algorithms into the real world with real whales, the team tested them in a controlled environment with devices the team put together to mimic whales.

We mimicked the whale using an engineered whale,” recalled Bhattacharya. “So basically we used a speed boat, and it had a loud engine. We used that engine noise to mimic the whale vocalization, and we had it move to mimic whale motion. And then we used that as our ground test.”

Project CETI tests AVATARS in the real world

A customized off-the-shelf drone flying to deploy a whale tag developed by Project CETI researchers. | Source: Project CETI

“Every day was a challenge when we were out on the boat, because this was for me, and my co-author Sushmita, the first time we were deploying real autonomous robots from a boat in the middle of the sea trying to collect some information,” Jadhav said.

“One of the major challenges of working in this environment was the noise in the sensor,” he continued. “As opposed to running experiments in the lab environment, which is more controlled, there are fewer sources of noise that impact your experiments or your sensor data”

“The other key challenge was deploying the drone itself from the board,” noted Jadhav. “I remember one instance where this was probably the first or second day of the second expedition that we went on last November, and I had the drone ready. It had the payload. It was waterproof”

“I had already run experiments here in Boston locally, where I had an estimate of how long the drone would fly with the payload. And then we were out on the boat running some initial tests, and the drone took off,” he said. “It was fine, it was doing its thing, and within a minute of it collecting data, there was a sudden gust of wind. The drone just lost control and crashed in the water.”

The team also had to try to predict and react to whale behavior when performing field tests.

“Our algorithm was designed to handle sensor data from a single whale, but what we ended up seeing is that there were four whales together, who were socializing,” Jadhav said. “They were diving and then surfacing at the same time. So, this was tricky, because then it becomes really hard for us on the algorithm side to understand which whale is sending which acoustic signal and which one we are tracking.”

Team tries to gather data without disturbing wildlife

While Project CETI works closely with sperm whales and other sea life that might be around when the whales surface, it aims to leave the whales undisturbed during data collection.

“The main concern that we care about is that even if we fail, we should not harm the whales,” Bhattacharya said. “So we have to be very careful about respecting the boundaries of those animals. That’s why we are looking at a rendezvous radius. Our goal is to go near the whale and not land on it.”

“Being minimally invasive and invisible is a key part of Project CETI,” said Gruber. “[We’re interested in] how to collect this information without interacting directly with the whale.”

This is why the team works mostly with drones that won’t disturb sea life and with specially developed tags that latch onto the whales and collect data. The CETI team eventually collects these tags, and the valuable data they contain, after they fall off the whales.

“A lot of times, people might think of robotics and autonomy as a scary thing, but this is a really important project to showcase that robots can be used to extend the reach of humans and help us understand our world better,” Gil told The Robot Report.

Project CETI aims to decode whale communications

This latest research is just one step in Project CETI’s overarching goal to decode sperm whale vocalizations. In the short term, the organization plans to ramp up data collection, which will be crucial for the project’s long-term goals.

“Once we have all the algorithms worked out, a future outlook is one where we might have, for example, drone ports in the sea that can deploy robots with sensors around the clock to observe whales when they’re available for observation,” Gil said.

“We envision a team of drones that will essentially meet or visit the whales at the right place, at the right time,” Jadhav said. “So whenever the whales surface, you essentially have a kind of autonomous drone, or autonomous robot, very close to the whale to collect information such as visual information or even acoustic if the drone is equipped with that.”

Outside of Project CETI, organizations could use AVATARS to further protect sperm whales in their natural environments. For example, this information could be used to reroute ships away from sperm whale hot spots, reducing the odds of a ship colliding with a pod of sperm whales.

“The idea is that if we understand more about the wholes, more about the whale communities, more about their social structures, then this will also enable and motivate conservation projects and understanding of marine life and how it needs to be protected,” Gil said.

In addition, the researchers said they could apply these methods to other sea mammals that vocalize.

“Here at Project CETI, we’re concerned about sperm whales, but I think this can be generalized to other marine mammals, because a lot of marine mammals vocalize, including humpback whales, other types of whales, and dolphins,” Bhattacharya said.

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AWS and Isaac Sim can help accelerate robotics development, says NVIDIA.

NVIDIA Corp. today announced at AWS re:Invent enhanced tools for robotics developers, as well as the availability of NVIDIA DGX Cloud on Amazon Web Services and offerings for artificial intelligence and quantum computing.

The company said that NVIDIA Isaac Sim is now available on NVIDIA L40S graphics processing units (GPUs) in Amazon Elastic Cloud Computing (EC2) G6e instances. It said this could double scaling robotics simulation and accelerate AI model training. Isaac Sim is a reference application built on NVIDIA Omniverse for developers to simulate and test AI-driven robots in physically based virtual environments.

With NVIDIA OSMO, a cloud-native orchestration platform, developers can easily manage their complex robotics workflows across their AWS computing infrastructure, claimed the company.

“This combination of NVIDIA-accelerated hardware and software — available on the cloud — allows teams of any size to scale their physical AI workflows,” wrote Akhil Docca, senior product marketing manager for Omniverse at NVIDIA.

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What is ‘physical AI?’

According to NVIDIA, “physical AI” describes AI models that can understand and interact with the physical world. The company said it “embodies the next wave of autonomous machines,” such as self-driving cars, industrial manipulators, mobile robots, humanoids, and even robot-run infrastructure like factories and warehouses.

With physical AI, developers are embracing a “three-computer solution” for training, simulation, and inference to make breakthroughs, NVIDIA said. Yet physical AI for robotics systems requires robust training datasets to achieve precision inference in deployment. Developing such datasets and testing them in real situations can be impractical and costly.

Simulation offers an answer, as it can accelerate the training, testing and deployment of AI-driven robots, the company asserted.

L40S GPUs in the cloud offer to scale simulation, training

Developers can use simulation to verify, validate, and optimize robot designs as well as the systems and their algorithms before deployment, said NVIDIA. It added that simulation can optimize facility and system designs before construction or remodeling starts for maximum efficiencies, reducing costly manufacturing change orders.

Amazon EC2 G6e instances accelerated by NVIDIA L40S GPUs can double performance over the prior architecture, while allowing the flexibility to scale as scene and simulation complexity grows, NVIDIA said. Roboticists can use these instances to train many computer vision models that power AI-driven robots.

This means the same instances can be extended for various tasks, from data generation and simulation to model training. NVIDIA added that OSMO allows teams to orchestrate and scale complex robotics development workflows across distributed computing resources, whether on premises or in the AWS cloud.

NVIDIA said Isaac Sim can foster collaboration and critical workflows, such as generating synthetic data for perception model training.

A reference workflow combines NVIDIA Omniverse Replicator, a framework for building custom synthetic data generation (SDG) pipelines and a core extension of Isaac Sim, with NVIDIA NIM microservices. With it, developers can build generative AI-enabled SDG pipelines, it said.

These include the USD Code NIM microservice for generating Python USD code and answering OpenUSD queries, plus the USD Search NIM microservice for exploring OpenUSD assets using natural language or image inputs.

The Edify 360 HDRi NIM microservice can generate 360-degree environment maps, while the Edify 3D NIM microservice can create ready-to-edit 3D assets from text or image prompts. Generative AI can thus ease the synthetic data generation process by reducing many tedious and manual steps, from asset creation to image augmentation, said NVIDIA.

• Rendered.ai’s synthetic data engineering platform is integrated with Omniverse Replicator. It enables companies to generate synthetic data for computer vision models used in industries from security and intelligence to manufacturing and agriculture.
• SoftServe Inc., an IT consulting and digital services provider, uses Isaac Sim to generate synthetic data and validate robots used in vertical farming with Pfeifer & Langen, a leading European food producer.
• Tata Consultancy Services is building custom synthetic data generation pipelines to power its Mobility AI suite to address automotive and autonomous use cases by simulating real-world scenarios. Its applications include defect detection, end-of-line quality inspection, and hazard avoidance.

NVIDIA, AWS help robots learn in simulation

While Isaac Sim enables developers to test and validate robots in physically accurate simulation, Isaac Lab, an open-source robot learning framework built on Isaac Sim, provides a virtual playground for building robot policies that can run on AWS Batch. Because these simulations are repeatable, developers can troubleshoot and reduce the number of cycles required for validation and testing, said NVIDIA.

The company cited robotics startups that are already using Isaac Sim on AWS: 

• Field AI is building robot foundation models to enable robots to autonomously manage a wide range of industrial processes. It uses Isaac Sim and Isaac Lab to evaluate the performance of these models in complex, unstructured environments in construction, manufacturing, oil and gas, mining, and more.
• Vention, which offers a full-stack cloud-based automation platform, is creating pretrained skills to ease development of robotic tasks, noted NVIDIA. It is using Isaac Sim to develop and test new capabilities for robot cells used by small to midsize manufacturers.
• Cobot offers Proxie, its AI-powered collaborative mobile manipulator. It uses Isaac Sim to enable the robot to adapt to dynamic environments, work alongside people, and streamline logistics in warehouses, hospitals, airports, and more.
• Standard Bots is simulating and validating the performance of its R01 robot used in manufacturing and machining setup.
• Swiss-Mile is using Isaac Sim and Isaac Lab for robot learning so that its wheeled quadruped robots can perform tasks autonomously with new levels of efficiency in factories and warehouses.
• Cohesive Robotics has integrated Isaac Sim into its software framework called Argus OS for developing and deploying robotic workcells used in high-mix manufacturing environments.
• Aescape’s robots are able to provide precision-tailored massages by accurately modeling and tuning the onboard sensors in Isaac Sim.

NVIDIA made other announcements in addition to the availability of Isaac Sim 4.2 on Amazon EC2 G6e Instances powered by NVIDIA L40S GPUs on AWS Marketplace.

It said that NVIDIA DGX Cloud can run on AWS for training AI models; that AWS liquid cooling is available for data centers using its Blackwell platform; and that NVIDIA BioNeMo NIM microservices and AI Blueprints, developed to advance drug discovery, are now integrated into AWS HealthOmics.

The company also said its latest AI Blueprints are available on AWS for video search and cybersecurity, the integration of NVIDIA CUDA-Q with Amazon Braket for quantum computing development, and RAPIDS Quick Start Notebooks on Amazon EMR.

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The Husky A300 is designed to be tougher and have longer endurance than the A200. Source: Clearpath Robotics

Developers of robots for indoor or outdoor use have a new platform to build on. In October, Clearpath Robotics Inc. released the Husky A300, the latest version of its flagship mobile robot for research and development. The Waterloo, Ontario-based company said it has improved the system’s speed, weather resistance, payload capacity, and runtime.

“Husky A200 has been on the market for over 10 years,” said Robbie Edwards, director of technology at Clearpath Robotics. “We have lots of experience figuring out what people want. We’ve had different configurations, upgrades, batteries and chargers, computers, and motors.”

“We’ve also had different configurations of the internal chassis and ingress protection, as well as custom payloads,” he told The Robot Report. “A lot of that functionality that you had to pay to add on is now stock.”

Husky A300 hardware is rugged, faster

The Husky A300 includes a high-torque drivetrain with four brushless motors that enable speeds of up to 2 m/s (4.4 mph), twice as fast as the previous version. It can carry payloads up to 100 kg (220.4 lb.) and has a runtime of up to 12 hours, said Clearpath Robotics.

The company, which Rockwell Automation acquired last year, noted that the platform can integrate third-party components and accessories including depth cameras, directional lidar, dual-antenna GPS, and manipulators. Husky A300 has an IP54 rating against dust and water and can withstand industrial environments or extreme temperatures outdoors, it said. 

“Before, the Husky was configured on a bespoke basis,” said Edwards. “Now we’re off at a more competitive price, which is great for our customers, and it now comes off our production line instead of our integration line.”

Founded in 2009, the company has tested its hardware and software near its office in a wide range of weather conditions.

Clearpath’s integration with Rockwell has gone smoothly so far, with Rockwell’s procurement team easing access to components and manufacturing, said Edwards. He observed that some of Rockwell’s customers in mining or other industrial automation could find new use cases in time.

The Husky A300 can withstand dust and temperature variances. Source: Clearpath Robotics

Clearpath includes ROS 2 support with A300

Husky A300 ships with Robot Operating System (ROS) 2 Jazzy plus demonstrations of Nav2, MoveIt 2, and other developer utilities.

“Over the past two years, there was a big push to get all Clearpath products to ROS 2 Humble because its configuration management system made life easier for our integration team and customers,” recalled Edwards. “We also provide support for simulation, and URDF [Unified Robot Description Format] is configured.”

Many of Clearpath’s R&D customers were familiar with ROS, C++, and Python, so it offered visualization and simulation tools in addition to the ROS stack, he added. However, as the company got non-expert customers, it wanted to enable them to also work with Husky.

“Academics who aren’t roboticists but want to do data collection can now do so with a simple Python interface, without learning ROS,” Edwards said. “We’ve maintained a level of flexibility with integrating different payloads and compute options while still giving a pretty good price point and usability.”

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Husky AMP a ‘turnkey’ option

Clearpath Robotics is offering a “turnkey” version of the robot dubbed Husky AMP, or autonomous mobile platform. It comes with a sensor suite for navigation, pre-installed and configured OutdoorNav software, a Web-based user interface, and an optional wireless charging dock.

“Robotics developers can easily integrate payloads onto the mounting deck, carry out a simple software integration through the OutdoorNav interface, and get their system working in the field faster and more efficiently,” said Clearpath.

“We’ve lowered the barrier to entry by providing all software function calls and a navigation stack,” Edwards asserted. “The RTK [real-time kinematic positioning] GPS is augmented with sensor fusion, including wheel odometry, and visual and lidar sensors.”

“With a waypoint following system, the robotics stack does the path planning, which is constrained and well-tested,” he said. “Non-roboticists can use Husky A300 as a ground drone.”

More robot enhancements, use cases to come

Clearpath Robotics is considering variant drive trains for the Husky A300, such as tracks for softer terrain as in agriculture, said Edwards.

“Husky is a general-purpose platform,” he said. “We’re serving outdoors developers rather than end users directly, but there’s a lot of demand for larger, high-endurance materials transport.”

For the A300, the company surveyed its client base, which came back with 150 use cases.

“I’ve seen lots of cool stuff — robots herding animals, helping to grow plants, working in mines, participating in the DARPA Subterranean Challenge in fleets of Husky and [Boston Dynamics’] Spot,” Edwards said. “Husky Observer conducts inspections of sites such as solar farms.”

“The benefits for industrial users also help researchers,” he said. “Making the robot cheaper to deploy for faster time to value also means better battery life, weatherproofing, and integrations.”

Edwards added that Clearpath has received a lot of interest in mobile manipulation with its Ridgeback omnidirectional platform.

“This trend is finding its way outdoors as well,” he said. “On the application engineering side, developers have put put two large Universal Robots arms on our Warthog UGV [uncrewed ground vehicle] for things like changing tires.”

The Husky A300 can carry different sensor payloads or robotic arms. Source: Clearpath Robotics

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UFR has developed autonomous systems for multiple industries. Source: Universal Field Robotics

Sandvik AB today said it has acquired Universal Field Robots, or UFR, a developer of autonomous systems for the surface and underground mining markets. UFR will report to Digital Mining Technologies, a division within the Sandvik Mining and Rock Solutions business area.

“Universal Field Robots is an important strategic addition to Sandvik Mining and Rock Solutions, which will strengthen our growth potential and provide key capabilities in the development of our mining automation solutions portfolio going forward,” stated Stefan Widing, president and CEO of Sandvik, when the company first announced its intentions in August.

Stockholm, Sweden-based Sandvik provides technologies for the mining, manufacturing, and infrastructure industries. As of 2023, the company had about 41,000 employees, sales in 170 countries, and revenue of SEK 127 billion ($11.5 billion U.S.).

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Universal Field Robots to widen equipment compatibility

Universal Field Robots has approximately 40 employees and is headquartered in Eagle Farm, near Brisbane, Australia. The company‘s systems are built on a common autonomy platform, including OEM-agnostic products for trucks, loaders, and auxiliary equipment. 

Sandvik said UFR’s technology complements its own automated offerings. “The acquisition will help to increase the addressable market for Sandvik and further strengthens the market position of Sandvik AutoMine — the world’s leading mining automation platform,” it claimed.

The companies said the acquisition will expand the number of third-party equipment types that can integrate with AutoMine.

In the financial year that ended in June 2024, Universal Field Robots generated revenue of approximately SEK 80 million ($7.2 million). Sandvik said the purchase will have a limited effect on its earnings before interest, taxes, and amortization (EBITA) will be limited. It added that the impact on its earnings per share, excluding non-cash amortization effects from business combinations, will be positive.

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Optimization evaluates multiple paths, sequences, poses, end-of-arm tool rotations, and interlocks for robots within a workcell. Source: Realtime Robotics.

Realtime Robotics, a leader in collision-free autonomous motion planning for industrial robots, last week named industry veteran Ville Lehtonen as its vice president of product.

Lehtonen brings experience in technology, product, and management, said Realtime Robotics. He most recently served as head of product at Pickle Robot Co., which he guided to a leadership position in the truck and container loading and unloading industry.

“Ville’s track record speaks for itself, and we’re confident he will be an excellent addition to the team,” said Kevin Carlin, chief commercial officer at Realtime Robotics.

“Our Optimization solution is already helping several manufacturing companies to reduce cycle times and improve productivity,” Carlin stated. “With Ville’s expertise, we can evolve to meet additional customer needs and expand its adoption throughout the manufacturing and logistics industries.”

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Lehtonen expects ‘a massive gear change’

Prior to Pickle, Lehtonen was head of product for HighRes Biosolutions, a laboratory automation software company, and he was a co-founder and CEO of LabMinds Ltd., a laboratory automation company.

Lehtonen holds a BS and an MS in computer science from the Helsinki University of Technology and an MBA from Oxford University.

Ville Lehtonen. Source: LinkedIn

“I look forward to helping already highly automated production lines become even more efficient and cost-effective with the use of Realtime’s Optimization technology,” he said. “I am confident we can help manufacturers save tens of thousands of hours on their industrial robotics projects.”

“What Realtime is doing is a massive gear change in deploying automation,” Lehtonen added. “While this will be incredibly helpful for current manufacturers, the most exciting opportunities come from unlocking the economics for companies operating on a far smaller scale than the heavy users of robots. Realtime’s technology stack also can do for kinematics what real-time object-detection frameworks like YOLO [You Only Look Once] have done for computer vision, further lowering the barriers to entry in the robotics space.”

About Realtime Robotics

Boston-based Realtime Robotics said its technology generates optimized motion plans and interlocks to achieve the shortest possible cycle time in single and multi-robot workcells. The company claimed that its systems expand the potential of automation, empowering multiple robots to work closely together in unstructured and collaborative workspaces, reacting to dynamic obstacles the instant changes are perceived.

Realtime said its Optimization product uses a combination of proprietary software and experienced robotics and application engineering insights to drastically improve a manufacturer’s overall productivity. The system analyzes a customer’s existing digital twin, identifying bottleneck areas and recommending improvements based on desired parameters. 

Optimization can do all of this without interfering with ongoing production efforts, said Realtime Robotics.

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The Insulator Maintenance Solution uses remote operation technology to reach locations known for their difficult access. | Source: Duke Robotics

Duke Robotics Corp. this week announced initial revenue generation from its agreement with the Israel Electric Corp. Per the agreement, the company provides high-voltage insular washing services with its IC Drone. 

The IEC agreement reflects Duke’s transition from development to active service and revenue generation within the civilian sector, it said. The the robotics and drone company said the IEC Agreement establishes it as a provider of aerial cleaning systems designed to enhance the safety, efficiency, and sustainability of utility maintenance operations.

IEC has committed to a minimum utilization of services, with a guaranteed payment in the low seven figures (in NIS, or Israeli new shekels) within the first year of the agreement. With the IC Drone fully operational for cleaning electric utility insulators, Duke now aims to expand its offering to other utility providers globally.

“We are excited to launch our IC Drone services with the IEC,” stated Yossef Balucka, CEO of Duke Robotics. “It also marks the beginning of revenue generation for Duke Robotics, as we reported in our quarterly financial statements for the third quarter ending Sept. 30, 2024.”

“We believe that this deployment is a testament to the effectiveness and value of our drone-enabled solutions,” he added. “We look forward to bringing these benefits to utility companies worldwide as we continue to grow our service offerings.”

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More about Duke Robotics’ technology

Duke Robotics offers its drone technology for both civilian and military applications. For civilian use, the company said its drones can be remotely operated, user-friendly, and portable. They can make dangerous jobs safer, quicker, and more efficient. 

In addition, it said its drones can provide access to difficult-to-reach areas for tasks such as cleaning. Duke Robotics said the IEC agreement demonstrates its devotion to innovative drone applications in the civilian sector and to advancing sustainability in utility maintenance alongside its existing military offering.

Duke’s military offering is called TIKAD, a platform that enables remote, real-time, and accurate firing of lightweight firearms via an uncrewed aerial vehicle (UAV). The company said it designed TIKAD to serve the growing demand for combat technologies that provide stand-off capabilities to minimize military casualties.

Formerly known as UAS Drone Corp, Duke Robotics said it is focused on bringing advanced stabilization and autonomous systems to both military and civilian sectors. The IC Drone is based on the company’s intellectual property and know-how, integrating algorithms, autonomous systems, and robotic technologies used in mission-critical applications.

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