摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-一项关于机器人的新研究现在开始了。根据来自中华人民共和国北京的消息，NEWSRX记者的研究表明：“本文提出了一种基于自适应高或低控制屏障函数的迭代线性二次调节器(AHOCBF-ILQR)算法，用于实时安全临界运动规划。首先，我们提出了一种基于HOCBF-ILQR的方法，将基于HOCBF的控制器设计为ILQ本研究经费来源于国家自然科学基金(NSFC)。
Abstract
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).
NETL
NSTL