首页|Data on Robotics Described by a Researcher at University of Science and Technology of China (Real-time reactive task allocation and planning of large heterogene ous multi-robot systems with temporal logic specifications)
Data on Robotics Described by a Researcher at University of Science and Technology of China (Real-time reactive task allocation and planning of large heterogene ous multi-robot systems with temporal logic specifications)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotics. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Existing methods for the task all ocation and planning (TAP) of multi-robot systems with temporal logic specificat ions mainly rely on optimization-based approaches or graph search techniques app lied to the product automaton.”
University of Science and Technology of ChinaHefeiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRobotics
NETL
NSTL
