首页|Study Data from Harbin Institute of Technology Shenzhen Update Understanding of Robotics (A Review of Graph-based Multi-agent Pathfinding Solvers: From Classica l To Classical)
Study Data from Harbin Institute of Technology Shenzhen Update Understanding of Robotics (A Review of Graph-based Multi-agent Pathfinding Solvers: From Classica l To Classical)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Multi -agent pathfinding (MAPF) is a well -studied abstract model for navigation in a multi -robot system, where ev ery robot finds the path to its goal position without any collision. Due to its numerous practical applications of multi -robot systems, MAPF has steadily emerg ed as a research hotspot.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shenzhen Fundamental Research Program, China.
ShenzhenPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsHarbin Institute o f Technology Shenzhen
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