After six months of preparation, students from universities across Australia and New Zealand participated in the National Instruments Autonomous Robotics Competition Grand Final held at UNSW.

The ROVR Open Dataset offers a new lens into human-scale navigation and environmental awareness, bridging the gap between ...

Michigan Technological University's Robotics and Remote Sensing Lab brought home an unprecedented win in the international Benchmark Autonomous Robot Navigation Challenge. Their victory could set a ...

Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them ...

QUT Centre for Robotics researchers have developed a new robot navigation system. Locational Encoding with Neuromorphic Systems (LENS) is set to transform how autonomous robots operate. At its ...

In a world where automation is advancing by leaps and bounds, collaboration between robots is no longer science fiction.

Researchers at Facebook, the Georgia Institute of Technology, and Oregon State University describe a new autonomous robot navigation data set and models.

Additionally, autonomous robotic behaviors will require the robots to do more than just navigate off-road, but must also maneuver in such a manner that uses the terrain for some behaviors.” ...

This opens opportunities for improving the current autonomous navigation systems for robots. Story Source: Materials provided by Facultad de Informática de la Universidad Politécnica de Madrid.

A soft, fluid-filled robot with autonomous controls based on slime mold can sense and move towards stimuli without any kind of central nervous system.