A new deep learning model from Cardiff University helps robots choose safer, more reliable paths—marking a shift from acrobatics to real-world navigation.

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...

Called “Cyclops,” for its single video camera “eye,” the wheeled robotic emulates the quality of visual scenes enabled by current low-resolution implants, performing navigation tasks that may allow ...

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 ...

Researchers from Indian Institute of Science (IISc) and University of Maryland have shown that robots can use visual cues instead of the usual network-based communication, to navigate and also ...

Ant insights lead to robot navigation breakthrough TU Delft researchers create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. Peer-Reviewed Publication Delft ...

A new robotic cane can help the visually impaired navigate indoors. The cane is equipped with a color 3D camera, an inertial measurement sensor, and its own on-board computer.

Robots and self-driving cars have one very large challenge in common, how to navigate the world. Typically, that task is approached by artificial intelligence as a problem of how to map the ...

Zhongtongfu Information Technology Co., Ltd. recently obtained a patent titled "Robot Vision Line Inspection Navigation Method and Visual Line Inspection Robot," marking an important step in the field ...