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The Indy Autonomous Challenge racecar, a Dallara AV-21, set a new land speed world record of 192.2 MPH / 309.3 KPH at the historic Kennedy Space Center.

The general public in Beijing, China, will be able to experience driverless robotaxis for the first time. Two robotaxi operators have been awarded a permit by Beijing city authorities to offer driverless services in southeastern Beijing. To ensure safety during this pilot program, a safety supervisor will sit in the front passenger seat.

Researchers have successfully designed a new type of artificial vision device that incorporates a novel vertical stacking architecture and allows for greater depth of color recognition and scalability on a micro-level.

Jaguar Land Rover has formed a multi-year strategic partnership with NVIDIA to jointly develop and deliver next-generation automated driving systems plus AI-enabled services and experiences for its customers.

Researchers have developed a 46-inch woven display with smart sensors, energy harvesting and storage integrated directly into the fabric.

Researchers are using artificial intelligence for smart traffic light control. In the future, self-learning algorithms combined with new sensors should ensure better traffic flow and shorter waiting times, while providing improved safety for pedestrians at crossings.

This milestone means the robots are able to operate routinely without human intervention, and can rely on their onboard capabilities to ensure safe operation. This industry first is the result of nearly five years of work by the Serve Robotics team and represents a major step forward for the autonomous vehicle industry, significantly lowering the barriers for autonomous delivery at scale.

The mobility sector continues to see a rapid pace of change, enabled by technological leaps in the underlying componentry and materials, but there is still a long way to go. In this article Luke Gear, Principal Analyst at IDTechEx, explores six key future mobility trends, drawing from IDTechEx Subscription research.

A research team has developed a robot that can assist standing up, walking, and sitting down by estimating the user's state using a small number of sensors. They have developed a technique for a robot to estimate a user's state with few sensors by calculating center of gravity candidates. Knowing the state of the user, such as whether they are trying to stand up or sit down, makes it possible to provide assistance as necessary.