首页|Data on Robotics Discussed by Researchers at Beijing Institute of Technology (Ad aptive High-order Control Barrier Function-based Iterative Lqr for Real Time Saf ety-critical Motion Planning)
Data on Robotics Discussed by Researchers at Beijing Institute of Technology (Ad aptive High-order Control Barrier Function-based Iterative Lqr for Real Time Saf ety-critical Motion Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news originating from Beijing, People’s Republic of China, by N ewsRx correspondents, research stated, “This letter proposes an adaptive high-or der control barrier function-based iterative linear quadratic regulator (AHOCBF- ILQR) algorithm for real time safety-critical motion planning. Firstly, we propo se a HOCBF-ILQR method, where a HOCBF-based controller is designed as a safety f ilter of ILQR to guarantee safety.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsBeijing Institute o f Technology
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