Mach9 has progressed from CMU research to tools to help the construction and infrastructure industries build and use 3D maps.

Serve Robotics has expanded Los Angeles deliveries and extended its Ouster lidar supply agreement, aiming for 2,000 deployments by 2025.

In this episode, we learn what’s new in the world of food manufacturing with Chef Robotics.

Users can compare maximum range, range at 10% reflectivity, angular resolution, and field of view for 28 LiDAR sensors from Hesai, Ouster, Quanergy, RoboSense, and Velodyne.

The new sensor from Lumotive uses the latest beamforming technology for industrial automation and service robotics.

SiLC says its new Eyeonic Mini AI machine vision system provides sub-millimeter resolution at a significantly reduced size.

As lidar becomes one of the leading technologies in the industry, it is important to understand all that goes into it.

Hesai and CRATUS will work together to release a series of drivers, middleware and end solutions centered around Hesai’s QT128 LiDAR sensors. 

The combined company has an intellectual property portfolio with 173 granted and 504 pending patents and a cash balance of over $315 million.

Silicon Valley-based Cepton offers a range of LiDAR sensors, including the Vista-X family of automotive-grade LiDARs and Sora-X family of industrial-grade LiDARs.

Quanergy went public just 10 months ago via a SPAC with China’s CITIC Capital, at an implied $1.4 billion equity value.

Ibeo recently filed for insolvency because it could not secure further growth financing.

RoboSense officially launched RS-LiDAR-E1, a flash solid-state LiDAR that sees 360° based on its in-house, custom developed chips.

AEye brought in $768,000 in revenue in the third quarter of 2022 and reported a GAAP loss of $23.6 million.

Ouster and Velodyne predict the combined company will save at least $75 million in operating costs within the first 9 months of the transaction’s close. 

Ouster, Inc. announced the release of a 3D industrial lidar sensor suite designed for high-volume material handling applications.

Ouster had its second-highest revenue quarter ever in Q2. Its revenue was driven by growth in the industrial vertical.

SICK highlights solutions safe productivity, part localization in bin picking, and LiDAR localization

The goal is to develop an autonomous mobile robot that can move more stably on irregular surfaces and in between obstacles by expanding the short-distance recognition range while reducing the LiDAR sensor size.

Researchers devised a high-frequency, low-power, compact optical device that allows virtually any digital camera to perceive depth.

Toshiba created its palm-sized LiDAR by using multiple small projector units as its laser beam source, instead of one strong laser.

Ouster’s LiDAR sensors will be used in Vecna’s self-driving vehicles for high-capacity material handling operations.