RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies

IEEE Transactions on Automation Science and Engineering(2021)

引用 15|浏览110
暂无评分
摘要
Generating robot motion for multiple tasks in dynamic environments is challenging, requiring an algorithm to respond reactively while accounting for complex nonlinear relationships between tasks. In this article, we develop a novel policy synthesis algorithm, Riemannian motion policy (RMP)flow, based on geometrically consistent transformations of RMPs. RMPs are a class of reactive motion policies ...
更多
查看译文
关键词
Robots,Task analysis,Aerospace electronics,Robot kinematics,Geometry,Collision avoidance,Planning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要