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 ...

Instead of pre-loading the robot with a map of its environment, the researchers have developed a navigation technology that enables robots to rely on visual cues when planning their next move.

Pudu Technology Co., Ltd. in Shenzhen has recently applied for a patent titled "Data Processing Method, Robot, and Computer-Readable Storage Medium," which pertains to the technology of constructing ...

If the visual surroundings get too different from that at the snapshot location, the robot may move in the wrong direction and never get back anymore.

An approach that uses hours of video and elements of reinforcement learning can guide a robot vehicle almost two miles without a full map of the surroundings.

PORTLAND, Ore. — A new mobile robot promises to aid developers of artificial retinas and other visual prosthetics by testing the endless variations of video filters proposed to improve their ...

Joseph Micah Prendergast is the first author on a new paper published in IEEE Xplore that details an autonomous navigation strategy for these tiny machines as they traverse the intestines. Researchers ...

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