欢迎访问《轻工机械》稿件在线采编系统!设为首页 | 加入收藏    
信息公告:  
文章检索:
稿件处理系统
期刊信息
  • 中国标准连:ISSN1005-2895
  • 续出版物号: CN 33-1180/TH
  • 主管单位:轻工业杭州机电设计研究院有限公司
  • 主办单位:轻工业杭州机电设计研究院有限公司、中国轻工机械协会、中国轻工业机械总公司
  • 社  长:刘安江
  • 主  编:黄丽珍
  • 地  址:杭州市余杭区高教路970号西溪联合科技广场4-711
  • 电子邮件:qgjxzz@126.com
理事单位          MORE>>
吴文迎, 蔡锦达, 高朋帅.基于自适应目标偏置系数的机械臂路径规划算法[J].轻工机械,2022,40(1):34-42
基于自适应目标偏置系数的机械臂路径规划算法
Path Planning Algorithm for Manipulator Based on Adaptive Target Biasing Coefficient
  
DOI:10.3969/j.issn.1005 2895.2022.01.007
中文关键词:  机械臂  路径规划  快速搜索随机树算法  D H参数法  自适应目标偏置  剪枝后处理
英文关键词:manipulator  path planning  RRT(Rapid Exploration Random Tree) algorithm  D H parameter method  adaptive target offset  post pruning
基金项目:
作者单位
吴文迎, 蔡锦达, 高朋帅 上海理工大学 出版印刷与艺术设计学院 上海200093 
摘要点击次数: 577
全文下载次数: 626
中文摘要:
      针对快速搜索随机树(RRT)算法因其随机特性导致的运行时间过长和计算结果往往不是最优解的问题,在RRT算法及其改进算法的基础上,课题组提出了一种基于自适应目标偏置系数的机械臂路径规划算法,并将该算法应用到医疗设备无影灯的使用中。首先,用D H参数法对6自由度机械臂进行运动学描述和正运动学求解,得到末端的运动状态和位姿;然后,综合RRT算法及其改进算法的优点拓展新节点和重置父节点,并引入自适应目标偏置系数,再对路径作剪枝后处理。对比实验结果显示:该方法在保证算法搜索效率的基础上,有效地提高了路径质量。基于ROS的仿真平台验证了该方法具有实用性和可行性。
英文摘要:
      In order to solve the problems that RRT algorithm has long running time and the calculation results are often not the optimal solution due to its random characteristics, a path planning algorithm for manipulator based on adaptive target bias coefficient was proposed based on RRT algorithm and its improved algorithm, and the algorithm was applied to the shadowless lamp of medical equipment. Firstly, the D H parameter method was used to describe the kinematics and solve the forward kinematics of the 6 DOF manipulator, and the motion state and pose of the terminal were obtained. Then, the new node was expanded and the parent node was reset based on the advantages of RRT algorithm and its improved algorithm, the adaptive target bias coefficient was introduced and the path was pruned after processing. The comparative experimental results show that this method can effectively improve the path quality while ensuring the search efficiency of the algorithm. The practicability and feasibility of the proposed method are verified by a simulation platform based on ROS.
查看全文  查看/发表评论  下载PDF阅读器
关闭