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文献详情 >A Real-Time Planning and Contr... 收藏

A Real-Time Planning and Control Framework for Robust and Dynamic Quadrupedal Locomotion

作     者:Jun Li Haibo Gao Yuhui Wan Haitao Yu Chengxu Zhou Jun Li;Haibo Gao;Yuhui Wan;Haitao Yu;Chengxu Zhou

作者机构:State Key Laboratory of Robotics and SystemHarbin Institute of TechnologyHarbin150001China School of Mechanical EngineeringUniversity of LeedsLeedsLS29JTUK 

出 版 物:《Journal of Bionic Engineering》 (仿生工程学报(英文版))

年 卷 期:2023年第20卷第4期

页      面:1449-1466页

核心收录:

学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 0710[理学-生物学] 1002[医学-临床医学] 080202[工学-机械电子工程] 08[工学] 0804[工学-仪器科学与技术] 0805[工学-材料科学与工程(可授工学、理学学位)] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by the China Scholarship Council under Grant06120186 the Engineering and Physical Sciences Research Council[Grant number EP/V026801/2] the Advanced Machinery and Productivity Institute[Innovate UK project number 84646] the National Natural Science Foundation of China under Grant 52175011 

主  题:Bionic robot Legged locomotion Motion planning Whole-body control 

摘      要:Legged locomotion poses significant challenges due to its nonlinear,underactuated and hybrid dynamic *** challenges are exacerbated by the high-speed motion and presence of aerial phases in dynamic legged locomotion,which highlights the requirement for online planning based on current states to cope with uncertainty and *** article proposes a real-time planning and control framework integrating motion planning and whole-body *** the framework,the designed motion planner allows a wider body rotation range and fast reactive behaviors based on the 3-D single rigid body *** addition,the combination of a Bézier curve based trajectory interpolator and a heuristic-based foothold planner helps generate continuous and smooth foot *** developed whole-body controller uses hierarchical quadratic optimization coupled with the full system dynamics,which ensures tasks are prioritized based on importance and joint commands are physically *** performance of the framework is successfully validated in experiments with a torque-controlled quadrupedal robot for generating dynamic motions.

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