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基于稀疏节点快速扩展随机树的移动机械臂运动规划
引用本文:李耀仲,王书亭,蒋立泉,孟杰,谢远龙. 基于稀疏节点快速扩展随机树的移动机械臂运动规划[J]. 中国机械工程, 2021, 32(12): 1462-1470. DOI: 10.3969/j.issn.1004-132X.2021.12.010
作者姓名:李耀仲  王书亭  蒋立泉  孟杰  谢远龙
作者单位:1.华中科技大学机械科学与工程学院,武汉,4300742.广东省智能机器人研究院,东莞,523808
基金项目:广东省基础与应用基础研究基金(2020A1515110464,2021A1515012409);广东省引进创新创业团队计划(2019ZT08Z780)
摘    要:针对传统移动机械臂运动规划未考虑停靠误差、规划效率低等问题,提出一种基于稀疏节点快速扩展随机树的移动机械臂运动规划方法.研究了停靠误差对移动机械臂运动规划的影响,制定了基于坐标转换的误差补偿措施.针对快速扩展随机树算法在局部空间中过度搜索的问题,改进回归过滤机制,避免了节点重复扩展.考虑边界节点的有效性,提出了随机点边...

关 键 词:移动机械臂  运动规划  快速扩展随机树  误差补偿

Motion Planning of Mobile Manipulators Based on RRT with Sparse Nodes
LI Yaozhong,WANG Shuting,JIANG Liquan,MENG Jie,XIE Yuanlong. Motion Planning of Mobile Manipulators Based on RRT with Sparse Nodes[J]. China Mechanical Engineering, 2021, 32(12): 1462-1470. DOI: 10.3969/j.issn.1004-132X.2021.12.010
Authors:LI Yaozhong  WANG Shuting  JIANG Liquan  MENG Jie  XIE Yuanlong
Affiliation:1.School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan,4300742.Guangdong Intelligent Robotics Institute,Dongguan,Guangdong,523808
Abstract:Traditional motion planning of mobile manipulators had problems such as without considering docking errors and low efficiency. A novel motion planning method of mobile manipulators was proposed based on RRT with sparse nodes. Influences of positioning errors for the mobile platforms on motion planning were analyzed, and an error compensation method was developed based on coordinate transformation. Aiming at addressing excessive searching in local spaces by RRT algorithm, a regression filtering mechanism was improved to avoid repeated expansion of nodes. Then, considering validity of boundary nodes, the random point boundary extension mechanism was proposed to greatly decrease collision detection time. Experimental results demonstrate that the proposed algorithm improves efficiency of motion planning.
Keywords:mobile manipulator   motion planning   rapidly-exploring random tree(RRT)    error compensation  
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