首页|Researchers from Hunan University Report Findings in Robotics (Dibnn: a Dual-imp roved-bnn Based Algorithm for Multi-robot Cooperative Area Search In Complex Obs tacle Environments)
Researchers from Hunan University Report Findings in Robotics (Dibnn: a Dual-imp roved-bnn Based Algorithm for Multi-robot Cooperative Area Search In Complex Obs tacle Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Robotics. A ccording to news reporting originating fromChangsha, People’s Republic of China , by NewsRx correspondents, research stated, “Aiming at the areasearch task of a multi-robot system in an unknown complex obstacle environment, we propose a co operativearea search algorithm based on a dual improved bio-inspired neural net work (DIBNN). First, we improvethe BNN model to reduce the interference of the complex obstacle environment on robot decision making.”
ChangshaPeople’s Republic of ChinaAs iaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsHunan University
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