首页|New Findings from Hunan University Describe Advances in Robotics (Reciprocal Vel ocity Obstacle Spatial-temporal Network for Distributed Multirobot Navigation)
New Findings from Hunan University Describe Advances in Robotics (Reciprocal Vel ocity Obstacle Spatial-temporal Network for Distributed Multirobot Navigation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting out of Changsha, People’s Republic of China, by NewsRx editors, research stated, “The core of multirobot collision avoidance lies in developing a decentralized policy that can guide robots from t heir initial positions to target locations based on the environment states perce ived by the robots and ensure collision avoidance. However, the current multirob ot collision avoidance policy network is challenging to simultaneously extract t he global spatial state, temporal state, and reciprocity among robots, which lim its its performance.”
ChangshaPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRoboticsHunan University