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 

The post Funding the next wave of robotics appeared first on The Robot Report.

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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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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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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In Episode 174 of The Robot Report Podcast, we feature an interview with Andrew Clare, chief technology officer of Nuro Inc. It’s a short workweek in the U.S. with the Thanksgiving holiday, so we skipped the news this week and went straight into the interview with Clare.

He discusses the company‘s evolution in the autonomous vehicle space, focusing on its Nuro Driver technology. Clare elaborates on Nuro’s expansion of its business model to include partnerships with automotive OEMs and the potential market for AI-based driving.

Clare also highlights the challenges of urban versus highway driving, the importance of safety culture, and the technology stack required for autonomous vehicles. We also touch on the differences between SAE Level 4 and Level 5 autonomy, as well as the future direction of Nuro in integrating hardware and software.

Show timeline

• 8:12 – Interview with Andrew Clare

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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 RGo Robotics

The show this week is sponsored by RGo Robotics Inc.

Is your autonomous mobile robot (AMR) struggling in dynamic environments? Is your business stuck because it takes months to commission a new site?

RGo Robotics’ Perception Engine is revolutionizing the AMR business through advanced Vision AI perception technology. Unlike traditional solutions, The company’s software enables AMRs to adapt to changing environments and navigate complex spaces with unprecedented accuracy and the commissioning process is shorter and simpler.

Leading AMR companies are enhancing their fleets with RGo’s AI-powered perception, enabling their teams to accelerate use of advanced AI capabilities like foundation models and digital twins.

Don’t let outdated navigation hold your business back.

To learn more about RGo’s solutions, go to: https://www.rgorobotics.ai/

The post Nuro navigates to fully autonomous driving appeared first on The Robot Report.

Imagry says its software enables buses to autonomously handle complex situations such as roundabouts. Source: Imagry

Autonomous vehicles often rely heavily on prior information about their routes, but new technology promises to improve real-time situational awareness for vehicles including buses. Imagry said its “HD-mapless driving” software stack enables vehicles to react to dynamic contexts and situations more like human drivers.

The company also said its AI Vision 360 eliminates the need for external sensor infrastructure. It claimed that its bio-inspired neural network and hardware-agnostic systems allow for SAE Level 3/4 operations without spending time on mapping.

“We’ve been focusing on two sectors,” said Eran Ofir, CEO of Imagry. “We’ve been selling our perception and motion-planning stack to Tier 1 suppliers and automotive OEMs for autonomous vehicles. We signed a 10-year contract with Continental and are jointly developing a software-defined vehicle platform.”

“And we’ve started working with transportation operators on providing autonomous buses,” he told The Robot Report. “For example, in Turkey, France, Spain, and soon Japan, we’re retrofitting electric buses to be autonomous.”

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Imagry trains in real time with supervision

Imagry was established in 2015 with a focus on computer vision for retail. In 2018, it began focusing entirely on autonomous driving. The company now has about 120 employees in San Jose, Calif., and Haifa, Israel.

Imagry said its technology is similar to that of Tesla in relying on 3D vision for perception and motion planning rather than rule-based coding or maps.

“Most players in the industry use HD maps with 5 cm [1.9 in.] resolution, telling the vehicle where lights, signs, and lane markers are,” said Ofir. “Our system teaches itself with supervised learning. It maps in real time while driving. Like a human driver, it gets the route but doesn’t know what it will find.”

How does Imagry deal with the need for massive data sets to train for navigation and obstacle detection and avoidance?

“We wrote a proprietary tool for annotation to train faster, better, and cheaper,” Ofir replied. “The data is collected but doesn’t live in the cloud. The human supervisor tells the vehicle where it was wrong, like a child. We deliver over-the-air updates to customers.”

“The world doesn’t belong to HD maps — it’s a matter of trusting AI-based software for perception and motion planning,” he said.

Ofir cited an example of a vehicle in Arizona on a random route with no communications to centralized computing. Its onboard sensors and compute recognized construction zones, skateboarders, a bike lane, and stop signs.

“The capability to drive out of the box in new places is unique to Imagry,” asserted Ofir. “We can handle righthand and lefthand driving, such as in Tokyo, where we’ve been driving for a year now.”

How does the bus know when to stop for passengers?

It could stop at every bus stop, upon request via a button at the stop (for the elderly, who may not use phone apps), or be summoned by an app that also handles payment, responded Ofir. Imagry’s system also supports “kneeling” for people with disabilities.

Why buses are a better focus for autonomy

Imagry has decided to focus on urban use cases rather than highways. Buses are simpler to get to Level 4 autonomy, said Ofir.

“Autonomous buses are better than ride hailing; they’re simpler than passenger vehicles,” said Ofir. “They drive in specific routes and at a speed of only 50 kph [31 mph] versus 80 kph [50 mph]. It’s a simpler use case, with economies of scale.”

“The time to revenue is much faster — the design cycle is four years, while integrating with a bus takes two to three months,” he explained. “Once we hand it over to the transport operator, we can get to L4 in 18 months, and then they can buy and deploy 40 more buses.”

In addition, the regulations for autonomous buses are clearer, with 22 countries running pilots, he noted.

“We already have projects with a large medical center and on a public road in Israel,” Ofir said. “We’re not doing small pods — most transport operators desire M3-class standard buses for 30 to 45 passengers because of the total cost of ownership, and they know how to operate them.”

In September and October, Imagry submitted bids for autonomous buses in Austria, Portugal, Germany, Sweden, and Japan.

Software focus could save money

By being vehicle-agnostic, Ofir said Imagry avoids being tied to specific, expensive hardware. Fifteen vendors are making systems on chips (SoCs) that are sufficient for Level 3 autonomy, he said.

“OEMs want the agility to use different sets of hardware in different vehicles. A $30,000 car is different from a $60,000 car, with different hardware stacks and bills of materials, such as camera or compute,” said Ofir. “It’s a crowded market, and the autonomy stack still costs $100,000 per vehicle. Ours is only $3,000 and runs on Ambarella, NVIDIA, TI, Qualcomm, and Intel.”

“With our first commercial proof of concept for Continental in Frankfurt, Germany, we calibrated our car and did some localization,” he added. “Three days after arrival, we simply took it out on the road, and it drove, knowing there’s no right on red.”

With shortages of drivers, particularly in Japan, operators could save $40,000 to $70,000 per bus per year, he said. The Japanese government wants 50 locations across the country to be served with autonomous buses by the end of 2025 and 100 by the end of 2027.

Autonomous buses are also reliable around the clock and don’t get sick or go on strike, he said.

“We’re working on fully autonomous parking, traffic jam assist, and Safe Driver Overwatch to help younger or older drivers obey traffic signs, which could be a game-changer in the insurance industry,” he added. “Our buses can handle roundabouts, narrow streets, and mixed traffic and are location-independent.”

Phases of autonomous bus deployment

Technology hurdles aside, getting autonomous buses recognized by the rules of the road requires patience, said Ofir.

“Together with Mobileye, which later moved to the robotaxi market, Imagry helped draft Israel’s regulatory framework for autonomous driving, which was completed in 2022,” recalled Ofir. “We’re working with lawmakers in France and Germany and will launch pilots in three markets in 2025.”

Testing even Level 3 autonomy can take years, depending on the region. He outlined the phases for autonomous bus rollout:

1. Work with the electric bus for that market, then activate the system on a public road. “In the U.S., we’ve installed the full software and control stack in a vehicle and are testing FSD [full self-driving],” Ofir said.
2. Pass NCAP (European New Car Assessment Programme) testing for merging and stops in 99 scenarios. “We’re the only company to date to pass those tests with an autonomous bus,” said Ofir. “Japan also has stringent safety standards.”
3. Pass the cybersecurity framework, then allow passengers onboard buses with a safety driver present.
4. Autonomously drive 100,000 km (62,137 mi.) on a designated route with one or more buses. After submitting a report to a department of motor vehicles or the equivalent, the bus operator could then remove the human driver.

“The silicon, sensors, and software don’t matter for time to revenue, and getting approvals from the U.S. National Highway Traffic Safety Administration [NHTSA] can take years,” Ofir said. “We expect passenger vehicles with our software on the road in Europe, the U.S., and Japan sometime in 2027.”

Imagry has joined Partners for Automated Vehicle Education (PAVE) and will be exhibiting at CES in January 2025.

The post Imagry moves to make buses autonomous without mapping appeared first on The Robot Report.

The Falcon digital twin platform provides high-fidelity, domain-tailored simulation for a variety of use cases. | Source: Duality AI

Duality AI yesterday launched an EDU license and subscription for its Falcon simulation platform. The company said it designed this new program to equip aspiring artificial intelligence developers with the synthetic data skills needed to create advanced AI vision models.

This educational, non-commercial license is intended to expand access to digital twin simulation, said Duality. The San Mateo, Calif.-based company said it will enable students and developers to build cutting-edge AI models and meet the growing demand for AI professionals across industries.

“Digital twin simulation has unlocked a future where anyone can build AI models safely, rapidly, and affordably,” said Mike Taylor co-founder and chief product officer of Duality AI. “Now is the perfect time to invest in building a community that can harness these tools.”

“Whether learners come from an engineering, research, or creative background, we’re excited to share our expertise and help them discover how their skills can play a vital role in the evolving AI industry,” he stated.

Falcon generates accurate data for modeling, training

Founded in 2018, Duality AI said its multidisciplinary team includes engineers, simulation specialists, AI and machine learning experts, and technical artists. They have more than over 70 patents across robotics, simulation, and visualization.

The company specializes in cases where real-world data is insufficient for achieving the precision required for AI modeling and training of complex operations. Duality said it has developed proven techniques that drive successful outcomes for its customers. 

By bringing high-fidelity digital twins of environments and operating systems into Falcon, organizations can generate accurate data and predictive behavior modeling, said Duality AI. This enables them to deploy automated systems robustly and at scale, the company claimed.

Organizations are using the Falcon platform to help solve problems in AI, robotics, and smart system engineering, said the company. Their applications span off-road autonomous driving, high-volume manufacturing, warehouse automation, and disaster management.

Duality AI told The Robot Report that it is taking a similar approach with the EDU license to its work with NASA’s Jet Propulsion Laboratory on the DARPA RACER, enabling students to generate synthetic data for outdoor environments and train and test AI models for autonomous off-road vehicles.

Duality AI to extend its expertise to students

As the need for accurate AI vision models continues to grow, so does the need for skills in digital twin simulation and synthetic data generation, said Duality AI.

“There is currently a lack of some key skills — such as creating digital twins or best-practice techniques for getting the most out of synthetic data — that are not that difficult to learn, but make a huge difference,” said a Duality AI spokesman. “We’re helping close that gap.”

The EDU program offers subscribers full access to Falcon’s feature set. It also includes guided exercises and community resources developed by Duality AI’s experts.

“As an example: In Exercise 1 of the program, we are showing roboticists another way to develop the object-detection models that run on their systems,” the spokesman said. “In fact, it’s a method that many in our field don’t think is possible. We went to show them that not only is it possible, but [also] that we can teach them how to bring these skills into their own development patterns.”

To further support all learners, Duality is launching an online community where anyone can ask questions, collaborate on projects, and share their work.

The company said the curriculum itself is designed to build a strong foundation in digital twin and synthetic data workflows, equipping participants with the skills to create high-performance AI vision models independently.

“Falcon is the platform I wish I had as a graduate student,” said Dr. Felipe Mejia, an AI vision engineer at Duality. “I was always searching for datasets to test new algorithms, and working with digital twins in Falcon offers endless opportunities to experiment and explore.”

“It allows me to simulate scenarios not well-covered by real data, and easily investigate model failure modes — like how does object detection success rate change based on obstruction, distance, lighting? Or any other variable,” he noted.

Duality AI added that its EDU subscription is intended to inspire innovation, and it encouraged users to experiment, develop their projects, and apply their learnings across a variety of fields. The company said it “hopes to foster a vibrant community of innovators eager to explore the full potential of synthetic data and digital twin simulation in modern AI applications.”

Register now

The post Duality AI offers developers EDU license for Falcon digital twins, synthetic data appeared first on The Robot Report.

ANELLO offers an evaluation kit for its navigation and positioning system. Source: ANELLO Photonics

Self-driving vehicles, mobile robots, and drones need multiple sensors for safe and reliable operation, but the cost and bulk of those sensors have posed challenges for developers and manufacturers. ANELLO Photonics Inc. yesterday said it has closed its Series B funding round for its SiPhOG inertial navigation system, or INS.

“This investment not only validates our SiPhOG technology and products in the marketplace, but will [also] allow us to accelerate our manufacturing and product development as we continue to push the boundaries and leadership for navigation capabilities and performance to our customers who want solutions for GPS-denied environments,” stated Dr. Mario Paniccia, co-founder and CEO of ANELLO Photonics.

Founded in 2018, ANELLO has developed SiPhOG — Silicon Photonics Optical Gyroscope — based on integrated photonic system-on-chip (SoC) technology. The Santa Clara, Calif.-based company said it has more than 28 patents, with 44 pending. Its technologies also include a sensor-fusion engine using artificial intelligence.

“I spent 22 years at Intel and started this field of silicon photonics, which is the idea of building optical devices out of standard silicon processing, mostly focused on the data center,” recalled Paniccia. “Mike Horton, my co-founder, was a sensor gyro expert who started a company called Crossbow coming out of UC Berkeley.”

“Everyone doing autonomy was saying lidar and radar, but customers told Mike that if we could build an integrated photonic chip, they’d be very interested,” he told The Robot Report. “If you look at fiber gyros, they work great but are big, bulky, and expensive.”

“The stuff on our phones are MEMS [micro-electromechanical systems]-based today, which is not very accurate and is very sensitive to temperature, vibration, and EM interference,” Paniccia explained. “With the the same concept as a fiber gyro — the idea of light going around a coil, and you measure the phase based on rotation — we integrated all those components on a single chip, added a little laser, and put electronics around it, and you now get SiPhOG, which fits in the palm of your hand.”

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SiPhOG combines compactness and precision

SiPhOG brings high-precision into an integrated silicon photonics platform, claimed ANELLO. It is based on the interferometric fiber-optic gyroscope (FOG) but is designed for compactness, said Paniccia.

“It’s literally 2 by 5 mm,” he said. “On that chip, we have all the components — the splitters, the couplers, the phase modulators, and the delay lines. We measure about 50 nano-radians of signal, so a tiny, tiny signal, but we measure it very accurately.”

The system also has a non-ASIC, two-sided electronics board with an analog lock-in amplifier, a temperature controller, and an isolator, Paniccia said. It has none of the drawbacks of MEMS and uses 3.3 volts, he added.

Paniccia said the SiPhOG unit includes an optical gyro, triple-redundant MEMS, accelerometers, and magnetometers. It also has two GPS chips and dual antennas and is sealed to be waterproof.

The ANELLO IMU+ is designed for harsh environments including in construction, robotics, mining, trucking, and defense. Source: ANELLO

Navigation system ready for multiple markets

Autonomous systems can work with ANELLO’s technology and the Global Navigation Satellite System (GNSS) for navigation, positioning, and motion tracking for a range of applications, said the company.

“We’re shipping to customers now in orchards, where the leaves come in, and the water in them essentially acts like a tunnel, absorbing GPS,” Paniccia said. “Our algorithm says, ‘I’m losing GPS, so weigh the navigation algorithm more to the optical gyro.’ You want the robot to stay within a tenth of a meter across a distance of half a mile. Long-distance, we’re looking at 100 km of driving without GPS with less than 100-m lateral error.”

In addition, SiPhOG is built for scalability and cost-effectiveness.

“VC friends tell me that automakers are putting six lidar systems on a car, and each one is $10,000 each. It’s never going to get to mass market,” Paniccia said. “We have an optical technology for land, air, and sea. And whether that land vehicle is for agriculture or construction, or in the longer term, trucking or autonomous cars, we can do it.”

“You can literally tape SiPhOG to a dashboard and plug it into the cigarette lighter,” he said. “We have self-alignment correction, and within 15 minutes, you can have GPS-denied navigation capability. We’re also shipping this system for indoor robots like in construction.”

“If I put three SiPhOGs in a cube, I can have the same performance but at one-fifth the size and weight and a quarter of the power for precision in three dimensions,” said Paniccia. “That’s exciting for drones and maritime.”

Investors to accelerate ANELLO 

Lockheed Martin, Catapult Ventures, and One Madison Group co-led ANELLO’s unspecified Series B round. New Legacy, Build Collective, Trousdale Ventures, In-Q-Tel (IQT), K2 Access Fund, Purdue Strategic Ventures, Santuri Ventures, Handshake Ventures, Irongate Capital, and Mana Ventures also participated. 

“We’re committed to fostering the art of the possible with investments in cutting edge technologies, including advancements in inertial navigation that have the potential to enhance autonomous operations in GPS-denied environments,” said Chris Moran, vice president and general manager of Lockheed Martin Ventures. “Our continued investment in ANELLO reflects our mission to accelerate technologies that can ultimately benefit national security.”

ANELLO said it plans to use its latest funding to continue developing and deploying its technology. The company has worked with the U.S. Department of Defense to optimize its algorithms against jamming or spoofing.

“Every week, there’s an article about a commercial flight or defense-related mission getting GPS jammed, like thousands of flights to and from Europe affected by suspected Russian jamming,” noted Tony Fadell, founder of Nest and a principal at investor Build Collective. “GPS has become a single point of failure because it’s too easily compromised with various jamming and spoofing techniques.”

“ANELLO’s proven and commercially available optical gyroscope is the only navigational tool that can take over, [offering] precision over long periods of time, the size of a golf ball, low-power, low-cost, that’s immune to shock and vibration,” he added. “ANELLO will save lives in the air, on the road, and over water.”

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Nuro’s custom L4 vehicles use the Nuro Driver to safely carry food and drink, with no human present in the vehicle. | Source: Nuro

Nuro Inc. today announced a significant expansion of its driverless capabilities using zero-occupant vehicles with the artificial intelligence-powered 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. 

In September, Nuro expanded its business model to include licensing Nuro Driver to automotive OEMs. As part of the new licensing model, the company also announced the Nuro AI Platform, which consists of scalable and performant developer tools to support AI development and validation for the Nuro Driver.

“Since publicly unveiling our new direction a little over a month ago, we have seen tremendous interest in our AI-driven autonomy platform from automotive OEMs and mobility companies,” stated Jiajun Zhu, the co-founder and CEO of Nuro. “Our latest driverless deployment demonstrates the maturity and capability of our AI platform, and we’re excited for potential partners to capitalize on the performance, safety, and sophistication of the Nuro Driver to build their own incredible autonomy products.”

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Nuro Driver ready to take on new challenges

Founded in 2016, Nuro said its newly expanded operational design domain (ODD) encompasses advances including:

• Multi-lane road operation at speeds up to 35 mph (56.3 kph)
• Improvements related to complex scenario handling, such as reacting to active emergency vehicles, navigating construction zones, and responding to active school busesa
• Night operation, expanding service availability

Nuro said its system now covers a wider portion of everyday driving conditions. The Mountain View-based company said this expanded operational scope demonstrates the growing sophistication and reliability of its autonomous vehicles in real-world applications.

To date, Nuro said its fleet has logged more than 1 million autonomous miles with zero at-fault incidents, underscoring the company’s commitment to safety and technological excellence. Its custom L4 vehicle is designed with cost-effective, automotive-grade components.

Nuro claimed that its approach ensures that its technology is not only highly capable but also practical for large-scale deployment across various vehicle types and use cases. The company said Nuro Driver can accelerate autonomous vehicle development by enabling up to SAE Level 4 autonomy on mobility platforms and personally-owned vehicles.

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In Episode 172 of The Robot Report Podcast, co-hosts Steve Crowe and Mike Oitzman catch up on the news of the week, including several recent stories about self-driving vehicles. We also catch up with Yoshi Umeno and learn how Kollmorgen helps clients design and build surgical robots.

Featured interview with ABB

In the featured interview this week, Oitzman catches up with Marc Segura, president of ABB Robotics, to learn how the company is using artificial intelligence to make robotics easier to program and deploy.

Show timeline

• 7:50 – News
• 22:22 – Kayleen Brown interviews Yoshi Umeno from Kollmorgen (sponsored by Kollmorgen)
• 29:50 – Interview with Marc Segura, president of ABB Robotics

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News of the week

Schaeffler plans global use of Agility Robotics’ Digit humanoid

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 RGO Robotics

The show this week is sponsored by RGO Robotics 

Is your autonomous mobile robot (AMR) struggling in dynamic environments? Is your business stuck because it takes months to commission a new site?

RGo Robotics’ Perception Engine is revolutionizing the AMR business through advanced Vision AI perception technology. Unlike traditional solutions, The company’s software enables AMRs to adapt to changing environments and navigate complex spaces with unprecedented accuracy and the commissioning process is shorter and simpler.

Leading AMR companies are enhancing their fleets with RGo’s AI-powered perception, enabling their teams to accelerate use of advanced AI capabilities like foundation models and digital twins.

Don’t let outdated navigation hold your business back.

To learn more about RGO’s solutions, go to: https://www.rgorobotics.ai/

The post The ABB Edge: Using AI and robotics to transform industries appeared first on The Robot Report.

Zenoh is middleware designed to enable scalable data communication across technologies. Source: ZettaScale

While multiple industries could benefit from mobile robots, the standard Data Distribution Service or DDS middleware has difficulty keeping up in wireless environments, according to ZettaScale Technology Ltd. This limits communications and scalability, said the France-based company.

ZettaScale has developed the Zenoh protocol, which it said provides robust communication in dynamic environments for vehicles, Internet of Things (IoT) devices, and robots. In 2022, the company spun out of DDS research and development for traffic control in aerospace and military applications, explained Angelo Corsaro, chief technology officer and CEO of ZettaScale.

Last month, the Eclipse Foundation announced the release of Eclipse Zenoh 1.0.0, an open-source protocol to integrate communication, storage, and computation in embedded systems and across cloud platforms. The foundation and ZettaScale noted that the new release builds on years of work and real-world deployment experience.

DDS works well, with limits

In 2015, efforts to design a resilient protocol to replace IP for the next-generation Internet were still based on telephone circuit switching. DDS was optimized for its original intent, but it had limitations, noted Corsaro.

“Our team also did some of the early smart-city work, [such as] Nice in France and with Schneider and Cisco in Barcelona,” he told The Robot Report. “One struggle we had was that, for systems spanning from a microcontroller to a data center, we had to put together two to three different protocols for data flow. DDS wouldn’t fit on a microcontroller, and the wire protocol wasn’t designed for constrained networks.”

“The issue is DDS was used outside of its design space,” Corsaro explained. “When we designed DDS, the use case was a closed system a wired network, and the assumption that there was low packet loss. And that happens in a system that is well-dimensioned.”

“So DDS came out of naval combat management system, where you have a system that is completely well-dimensioned,” he added. “There is, on average, the 50% CPU and the network that is left empty. And everything is dimensioned so that you can use multicast and you don’t lose packet. Systems are powerful and symmetrical. In that context, DDS rocks, but if you move out of that context, then it gets complicated.”

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Zenoh designed to manage data at rest and in motion

Corsaro said he wanted to solve two problems. The first was to develop a protocol that would work with low-power embedded systems and constrained networks.

“The other ideas was unifying the abstraction that we use for dealing with data in motion, so distributing data and data at rest, which means query,” recalled Corsaro. In efforts to decentralize data storage for “fog computing” in Barcelona, he found that protocols were needed to retrieve data distributed across the network.

“Zenoh removes the topological constraint on where to deploy the computation, so you can operate over arbitrary meshes at Internet scale,” Corsaro said. “This discussion of where we should put it — on the cloud versus the edge — becomes irrelevant because you keep the storage and compute where it makes sense, and the data always takes the shortest path.”

From telecom to ROS 2

The DDS researchers started working on Zenoh with funding from telecom companies, which enabled it to experiment and validate in the context of smart-city telemetry across 5G networks, said Corsaro.

“It was by accident that people started using it in robotics, because for us, we were really focused on telecommunications,” he noted. “When we started showing how you could use it with ROS [the open-source Robot Operating System], it really took off.”

As ZettaScale spun off, TG Tech Auto saw an opportunity to bring its protocols into the automotive space, and it partnered and became a shareholder.

“We see a huge convergence from both robotics and automotive, and Zenoh was adopted by General Motors’ uProtocol initiative,” Corsaro said. “It’s the convergence of architecture and technology. There are actually cars today in Asia that are actually running on ROS 2.”

ROS 2 is taking a lighter-weight, “code-first” approach, while the AUTOSAR consortium is working on a structured exchange and interoperability format. However, ROS 2 needs to come up to automotive certification standards, acknowledged Corsaro.

Companies such as Intrinsic and Apex.AI are working on bridging the platforms. Intrinsic is using Zenoh with ROS 2 Jazzy Jalisco.

“It’s a very interesting time,” Corsaro said. “Imagine if the same protocol could be used for both robotic platforms and autonomous driving. We see robotics as essentially the early adopters.”

ZettaScale demonstrated Cyclone DDS and Zenoh, Version 1.0.2 of which is now available, at ROSCon last month in Kyoto, Japan.

Zenoh streamlines communications, adaptively routes data, and distributes storage for efficient fleet management. Source: ZettaScale

ZettaScale continues automotive work

Early adopters of Zenoh include major automakers such as Volvo and smart-city companies.

Eclipse Zenoh 1.0.0 includes shared memory and zero-copy support, advanced end-to-end protection, high-performance access control, and specific extensions for robotics and automotive protocols.

“We’ve shown how we can handle real-time video of a self-driving car and put recognition in the loop,” said Corsaro. “You don’t want to go through the network when sending lidar images, point clouds, or big images, but few people were using the zero-copy API [application programming interface] that was in ROS.”

ZettaScale is working closely with partners in Japan and Europe, and it has support personnel in the U.S.

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LOXO’s Migronomous delivery service demonstrated the Alpha self-driving vehicle. Source: Schindler Group

LOXO AG today opened its first international subsidiary in Munich, Germany. The Bern, Switzerland-based company has developed and deployed software-as-a-service, or SaaS, systems to provide autonomy to delivery vehicles.

“Germany is a natural next step for LOXO as we continue our mission to revolutionize commercial vehicle automation in Europe,” said Amin Amini, CEO of LOXO. “Germany’s strong logistics market, advanced automotive infrastructure, and progressive legislation surrounding autonomous vehicles make it the ideal location for us to further our middle-mile and mobile distribution projects.”

Amin Amini, Lara Amini, and Claudio Panizza founded the company in 2018. LOXO claimed that its vehicle-agnostic LOXO Digital Driver (LDD) software can give nearly any commercial vehicle SAE Level 4 autonomy.

In addition, the company operates its own fleet of logistics vehicles, the electric LOXO Alpha and LOXO R1.

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LOXO begins with autonomous deliveries in Bern

LOXO recently rolled out what it said was Europe’s first L4 self-driving technology, which is operational on public roads in Bern. The company, which began with remote operation, has authorized autonomous driving routes spanning 65 km (40 mi.) within the city.

“The LDD software serves as the core of every autonomous operation, combining advanced AI with an autonomous sensor stack to enable vehicles to drive autonomously,” explained the company on its website. “Our virtual mapping approach significantly enhances scalability, ensuring operations remain fast and cost-effective.”

Last year, it conducted projects with Schindler Group and Migros, Switzerland’s largest online retailer. Its autonomous vehicles are currently proving their capabilities in projects with Planzer, a major Swiss logistics company.

German middle-mile market presents an opportunity

“Germany’s middle-mile logistics sector, valued at approximately $379.89 billion in 2023 and projected to surpass $504 billion by 2032, has enormous untapped potential,” asserted LOXO. “The repetitive nature of middle-mile routes between business hubs presents an ideal opportunity for autonomous driving solutions.”

Lara Amini, co-founder and current chief business officer of LOXO Switzerland, will lead the new Munich subsidiary.

“We’re not just focused on replacing traditional vehicles with autonomous ones. Our goal is to foster innovation that will catalyze the transformation of the entire logistics sector,” said Lara Amini. “By collaborating with local partners and tapping into Germany’s pool of talent, we aim to take LOXO’s successful model and scale it across new markets.”

The company said its expansion into Germany signals its commitment to advancing autonomous driving in one of Europe’s largest logistics markets. It said it aims to further integrate its vehicles into the supply chain and advance the state of commercial vehicle automation.

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CaseFlow orchestrates case-picking robots and workers, noted new CEO Karl Iagnemma. Source: Vecna robotics

Vecna Robotics today announced that it has closed $14.5 million in additional funding from existing investors and brought on Karl Iagnemma as CEO. The Waltham, Mass.-based company provides mobile robots for materials handling.

Iagnemma has been a robotics researcher and an entrepreneur. At the Massachusetts Institute of Technology, he authored publications on robotics and artificial intelligence that have been cited more than 20,000 times.

“I got my Ph.D. in 2001 and led the Robotic Mobility Group at MIT from 2001 to 2013, where I did fundamental research into wheeled mobile robots, the foundational technology for autonomous mobile robots [AMRs] and robotaxis,” Iagnemma told The Robot Report.

At MIT, Iagnemma met Daniel Theobald, a fellow alumnus and founder and chairman of Vecna Robotics, while working on a DARPA project. In 2020, Iagnemma made an angel investment in the company.

“I was convinced that Vecna had the world’s best technology to address key workflows in this space,” he said. “It’s a $275 billion opportunity, with 2.5 billion sq. ft. of warehouse space.”

From autonomous vehicles to mobile robots

In 2013, Iagnemma co-founded and served as CEO of autonomous vehicle (AV) developer nuTonomy, which conducted public robotaxi pilots in Singapore.

“nuTonomy launched the first fully Level 4 self-driving vehicles in urban environments,” he recalled. “We raised about $20 million but saw that we needed billions to proceed.”

Tier 1 automotive supplier Aptiv acquired nuTonomy in 2017 for $405 million.

“We then saw that we needed an even bigger partner,” Iagnemma said. “That’s what led us to Hyundai in 2019.”

He was founding CEO of Motional, a $4 billion joint venture between Aptiv and Hyundai Motor Group. In May 2024, Hyundai acquired shares of Motional from Aptiv for $448 million.

“Automation in logistics today is similar to the current state of robotaxis, in that there is a massive market opportunity but little market penetration,” stated Iagnemma.

“I join Vecna Robotics at an inflection point in the material handling market, where operators are poised to adopt automation at scale,” he added. “Vecna is uniquely positioned to shape the market with state-of-art technology and products that are easy to purchase, deploy, and operate reliably across many different workflows.”

What’s the biggest difference between AVs and AMRs?

“With autonomous vehicles, you have to watch out for drunk jaywalkers, the weather, and baby strollers,” replied Iagnemma. “AMRs are ready to be deployed at scale today.”

“One of the first things I did when I joined Vecna is I went to a 1.2 million sq. ft. customer site,” he noted. “There were remarkably few people, and the robots were operating very reliably. It was a more constrained environment [than for AVs], but the robots are still complex. They’re not just technology but products that must operate continuously.”

Iagnemma joins as CaseFlow is released

Vecna Robotics makes autonomous forklifts, tuggers, pallet trucks, and pallet jacks. It also offers the Pivotal software and a round-the-clock Command Center to help manufacturers, warehouses, and distribution operators automate critical tasks, maximize throughput, and quickly scale.

“Pivotal is a great example of the large-scale thinking that is embodied in Vecna,” said Iagnemma. “Some competitors are building widgets for specific workflow products, but Vecna is developing an ecosystem. It’s not just a product for one use case but an AI system that optimizes the performance of every asset, including automation and workers.”

Last month, Vecna introduced the CaseFlow system for optimized human-robot case picking. It offers CaseFlow through a robotics-as-a-service (RaaS) model.

“I was excited to join with the release of CaseFlow,” Iagnemma said. “Case picking is one of the highest-value workflows, and this is the only truly flexible way to do it. We’ve seen customer sites with ROI [return on investment] in less than a year, with more than doubling of productivity. It’s not just a simulation.”

Vecna prioritizes strategic partnerships, enhanced products

In June, Vecna raised more than $100 million in a Series C round and named Michael Helmbrecht as chief operating officer. The company’s previous CEOs included Dan Patt and Craig Malloy.

Vecna said it plans to use its latest $14.5 million in funding to accelerate technology and product enhancements.

“My goal as CEO is to continue investing in product development and ‘deepen our moat’ in the automated forklift area,” said Iagnemma. “Another is to achieve scale through new products and strategic partnerships, not at the facility scale but at the enterprise scale.”

“Karl Iagnemma combines exceptional robotics expertise with hands-on leadership, making him the perfect fit to drive innovation and propel Vecna Robotics into its next phase of growth,” said Nick Solaro, general partner at Drive Capital. “We are confident that his extensive network will be instrumental in forging key strategic partnerships, securing the company’s long-term leadership in the market.”

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Waymo said its vehicles are already serving more than 100,000 paid trips every week across its deployment sites. | Source: Waymo

Anyone in Los Angeles can now take fully autonomous rides with Waymo One. The company, whose service area covers Santa Monica, Hollywood Boulevard, USC, and everything in between, has removed its waitlist in the city and is open 24/7.

It’s only been about eight months since Waymo launched its limited robotaxi service in Los Angeles. In that time, nearly 300,000 people joined its waitlist. Waymo said these LA riders have taken hundreds of thousands of paid trips across the city, and given Waymo valuable feedback about its performance. 

Waymo said its service has received an average 4.7 out of 5 star rating. Additionally, 98% of riders recently surveyed in LA said they are satisfied with the service and 96% find it useful.

“Now is an exciting time to welcome everyone in Los Angeles along for the ride,” said Tekedra Mawakana, the co-CEO of Waymo. “Our service has matured quickly and our riders are embracing the many benefits of fully autonomous driving. We’re so grateful to all of our first riders in LA, and we can’t wait to serve more riders soon.”

The self-driving unit of Alphabet has spent 2024 expanding its self-driving services across multiple cities, including in San Francisco and Phoenix, where it provides curbside service at Sky Harbor International Airport. In August, the company unveiled its 6th generation robotaxi, equipped with an optimized sensor suite for greater performance at a significantly reduced cost. Most recently, it brought in $5.6 billion in funding. Waymo also has a robotaxi service in Austin, but there’s a long waitlist, and the service isn’t yet open to everyone.

More about Waymo’s LA service

Riders can now traverse nearly 80 square miles of LA County, and Waymo intends to grow its service area to cover more of the city in the future. The company said it looks forward to welcoming many first-time riders and welcoming back those it has served over the last year, as it steadily scales its service over time just as we’ve done in San Francisco and Phoenix.

As it opens its doors to more people, Waymo is working closely with local community partners aligned with its mission to make roads safer and mobility more accessible. For example, Waymo is working with She is Hope, a non-profit dedicated to empowering single mothers in Los Angeles.

“Riding with Waymo was an incredible experience—smooth, safe, and truly impressive,” said Tisha Janigan, founder of She is Hope. “When I rode alone and with some of our single mother families, we were amazed by the driverless technology and the sense of comfort it provided. Access to Waymo could be a game-changer for women we serve, offering a nonjudgmental, reliable transportation option that prioritizes safety.”

While Waymo is a clear leader in the autonomous vehicle industry, there are a number of other companies hoping to breakthrough in the space. Amazon-subsidiary Zoox this week expanded its operation 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. 

Additionally, Chinese firms have been bringing in large amounts of money to further develop their technology. Last week, DeepRout.ai brought in $100 million led by Chinese automotive manufacturer Great Wall Motor. While WeRide last month brought in $485.5 million from its initial public offering and private placement. 

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Zoox’s purpose-built robotaxis don’t have traditional manual controls. | Source: Zoox

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. 

“This marks our entrance with the robotaxi into our second commercial market,” said Aicha Evans, CEO of Zoox. “Since 2017, our test fleet has autonomously navigated San Francisco streets with a safety driver. Now that we’ve passed all critical safety measures, we are excited to begin testing our robotaxi in this wonderful city.”

Initial testing in San Francisco for the Amazon subsidiary’s robotaxi will occur in the SoMa neighborhood. During this testing phase, rides will not be available to the public. Instead, the service will be open to Zoox employees so the company can refine the riding experience, it said. As testing progresses, the company will expand its geofence to include additional neighborhoods throughout the city.

While the company’s test fleet has had a presence in San Francisco for some time now, its purpose-built robotaxi stands out from other autonomous vehicles on the road. 

“Zoox is the only company driving a purpose-built robotaxi on public roads without traditional manual controls,” said Jesse Levinson, co-founder and CTO of Zoox. “This expansion marks our third city for our robotaxi operations, following Foster City and Las Vegas. We’ve rigorously tested and validated our AI stack in multiple cities over the last seven years in preparation for the deployment of our robotaxi fleet. From day one, our robotaxis will be leveraging a deep history and understanding of this area.”

Zoox gears up for public rides in Vegas in 2025

Zoox said it is making progress towards welcoming its first public riders in Las Vegas in 2025. It recently deployed the robotaxi in a larger geofence in Las Vegas, including The Strip and surrounding areas.

The Strip is one of the most highly trafficked areas in Las Vegas and is full of complex driving scenarios, Zoox said. These include areas of more than eight lanes of traffic with multiple turning lanes, high speeds, heavy pedestrian traffic, and large-scale intersections. Deploying a robotaxi in this area, Zoox said, will provide invaluable learnings for its AI stack and service as it prepares Zoox for its first riders.

As the company prepares to welcome public riders in Las Vegas next year, it said it will do so through an early rider program. These select riders will have the opportunity to ride with Zoox for free, providing valuable feedback.

In addition to its operations in Las Vegas, San Francisco, and Foster City, Zoox is also testing its technology in Austin and Miami. The company said it plans to enter these two new cities with care. Zoox will first conduct a brief mapping mission. Once this is finished, it will begin deploying its retrofitted Toyota Highlander test fleet, equipped with safety drivers, in small areas near the business and entertainment districts of two cities. 

Waymo is the leader in the robotaxi space. In late October 2024, Waymo said it’s providing over 150,000 paid trips and driving over 1 million fully autonomous miles every week. It offers public robotaxi services in Los Angeles, Phoenix, and San Francisco. Waymo also has a 37-square-mile operating area in Austin, but there’s a waitlist to ride and is not yet open to the general public.

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