The company is proposing an innovative approach to vehicle guidance using sensors deployed within the environment, rather than just on the autonomous vehicles.

Part of what makes Waymo’s system successful is its millions of miles of real world and simulated driving experience.

Selecting the correct motor is critical to overall performance for autonomous mobile robots.

Argo AI and The League of American Bicyclists released best practices for creating self-driving systems that operate safely around bicyclists.

SwRI’s drone was tasked with entering Austria’s Zwentendorf Nuclear Power Plant and detecting radiation sources without the aid of a human pilot or previous knowledge of the environment.

ABB is installing Sevensense’s autonomous navigation technology into its mobile robots.

Improving the Soil Property and Object Classification will save NASA scientists time when planning routes for their rovers and in finding important formations.

Formerly known as Cartica AI, Autobrains is developing its modular Cartex driving platform for Level 1-4 autonomous vehicles.

From cyclists riding against the flow of traffic to nudging over to let another car pass on a narrow street, watch a handful of typical events Waymo’s autonomous vehicles deal with in San Francisco.

BlueBotics claims its navigation technology is accurate to ±1 cm / ±1° and that it requires minimal changes to infrastructure.

Project aims to take bipedal robots to a new level, equipping them to adapt on the fly to treacherous ground, dodge obstacles or decide whether a given area is safe for walking.

New support allows full integration of vision-based 3D mapping in ROS 2 designs.

A senior robotics engineer at Boston Dynamics explains how perception and adaptability enable Atlas to perform varied, high-energy behaviors like parkour.

Scythe Robotics shares tips about sensor selection, ruggedized hardware, and software optimization for its commercial mowers.

By training Atlas to maneuver through complex parkour courses, Boston Dynamics developed new movements inspired by human behaviors and pushed the humanoid to new limits.

University of Michigan researchers have enabled humanoid robots to use their hands in a similar way, so the robots can better travel across rough terrain, such as disaster areas or construction sites.

MIT developed a high-speed flight-planning algorithm that combines simulations and experiments, in a way that minimizes the number of experiments required to identify fast and safe flight paths.

GE’s project was one of eight funded by the U.S. Army to advance autonomous, off-road navigation capabilities for military ground vehicles.

Adaptive locomotive modality, or the ability to move in different ways, is integral to extreme terrain exploration on the Moon and Mars.

Engineers use a few different techniques that employed both Spot’s Choreographer software and its API to make Spot dance.

The base policy and adaptation module are run asynchronously and at different frequencies, which allows RMA to operate robustly with only a small onboard computer.

U.S. Army findings suggest human-made legged platforms should be as efficient as wheeled and tracked platforms.