US Patent Issued to DALIAN UNIVERSITY OF TECHNOLOGY on July 1 for "Robot dynamic obstacle avoidance method based on multimodal spiking neural network" (Chinese Inventors)

ALEXANDRIA, Va., July 3 -- United States Patent no. 12,346,112, issued on July 1, was assigned to DALIAN UNIVERSITY OF TECHNOLOGY (Dalian, China).

"Robot dynamic obstacle avoidance method based on multimodal spiking neural network" was invented by Xin Yang (Liaoning, China), Xiaopeng Wei (Liaoning, China), Yang Wang (Liaoning, China) and Qiang Zhang (Liaoning, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present invention provides a robot dynamic obstacle avoidance method based on a multimodal spiking neural network. The present invention realizes a robot obstacle avoidance method in a dynamic environment by fusing laser radar data and processed event camera data and combining with the intrinsic ...