首页|New Findings from Chinese Academy of Sciences in Robotics Provides New Insights (D-pbs: Dueling Priority-based Search for Multiple Nonholonomic Robots Motion Pl anning In Congested Environments)
New Findings from Chinese Academy of Sciences in Robotics Provides New Insights (D-pbs: Dueling Priority-based Search for Multiple Nonholonomic Robots Motion Pl anning In Congested Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “This letter focuses on the multiple nonho lonomic robots motion planning (MRMP) problem in congested and complex environme nts, where the complexity escalates dramatically with the increase in the number of robots, frequently leading to deadlocks. We present the Dueling Priority-Bas ed Search (D-PBS), an efficient and scalable priority-based motion planner for m ultiple nonholonomic car-like robots, capable of enabling robots to move safely to destinations in spatially-constrained settings.”
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsChinese Academ y of Sciences
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