Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm

Cao Yi; Zhang Jingtao; Zhao Pu; Li Lei; Guo Yinhui

doi:10.16578/j.issn.1004.2539.2022.12.019

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Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm

Test·Analysis | 更新时间：2023-01-06

- Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm
- Journal of Mechanical Transmission Vol. 46, Issue 12, Pages: 124-130(2022)
- 作者机构：
  
  1.河南工业大学机电工程学院，河南郑州 450001
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2022.12.019
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曹毅,张景涛,赵璞等.基于改进RRT算法在ROS中的机械臂避障运动规划研究[J].机械传动,2022,46(12):124-130.

Cao Yi,Zhang Jingtao,Zhao Pu,et al.Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm[J].Journal of Mechanical Transmission,2022,46(12):124-130.
曹毅,张景涛,赵璞等.基于改进RRT算法在ROS中的机械臂避障运动规划研究[J].机械传动,2022,46(12):124-130. DOI： 10.16578/j.issn.1004.2539.2022.12.019.

Cao Yi,Zhang Jingtao,Zhao Pu,et al.Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm[J].Journal of Mechanical Transmission,2022,46(12):124-130. DOI： 10.16578/j.issn.1004.2539.2022.12.019.

摘要

针对基于目标偏向的RRT算法在复杂环境下易陷入局部搜索与搜索效率低的不足，在ROS中分别基于Dobot模型和DIY模型，对算法做出进一步的改进。在创建机械臂模型基础上，利用MoveIt!对其进行配置，并通过简化模型来提高碰撞检测效率；在基于目标偏向RRT算法的基础上，分别引入扩展目标变更策略和可变步长对算法进行改进；在ROS中分别进行了不同形态障碍物环境下的避障运动规划仿真；在样机上进行了避障和避障抓取实验。仿真及实验结果表明，提出的改进RRT算法相比基于目标偏向的RRT算法，规划成功率和效率分别可提高42.9%和29.2%。

Abstract

Aiming at the fact that the RRT algorithm based on the target bias is easy to fall into local search and has a low search efficiency in complex environment, further improvement is made in the ROS based on the Dobot model and the DIY model. On the basis of creating the manipulator model, the MoveIt! is used for configuration and the model is simplified to improve the efficiency of the collision detection. The extended target change strategy and variable step size are introduced to improve the algorithm which is based on the target biased RRT algorithm. The simulation of the manipulator obstacle avoidance motion planning under different forms of obstacles is carried out in the ROS. The experiments of the obstacle avoidance and obstacle avoidance grasping are carried out on the prototype. Simulation and experimental results show that the proposed improved RRT algorithm can improve the planning success rate and efficiency by 42.9% and 29.2% respectively compared with the RRT algorithm based on target bias.

关键词

机械臂避障运动规划改进RRT算法目标变更可变步长

Keywords

ManipulatorObstacle avoidance motion planningImproved RRT algorithmTarget changeVariable step size

references

梁毓明，徐立鸿.移动机器人路径规划技术的研究现状与发展趋势［J］.机电一体化，2009，15（3）：35-38.

LIANG Yuming，XU Lihong.Research status and development trend of mobile robot path planning technology［J］.Mechatronics，2009，15（3）：35-38.

张广林，胡小梅，柴剑飞，等.路径规划算法及其应用综述［J］.现代机械，2011（5）：85-90.

ZHANG Guanglin，HU Xiaomei，CHAI Jianfei，et al.Overview of path planning algorithms and their applications［J］.Modern Machinery，2011（5）：85-90.

倪长林.基于RRT算法的智能假臂路径规划方法研究［D］.沈阳：沈阳工业大学，2019：4-5.

NI Changlin.Research on path planning method of intelligent artificial arm based on RRT algorithm［D］.Shenyang：Shenyang University of Technology，2019：4-5.

张亚宾.基于改进双树RRT算法的串联操作臂避障运动规划研究［D］.郑州：河南工业大学，2020：5-6.

ZHANG Yabin.Research on obstacle avoidance motion planning of series manipulator based on improved dual tree RRT algorithm［D］.Zhengzhou：Henan University of Technology，2020：5-6.

孙泾辉.面向抓取作业的机械臂避障路径规划算法研究［D］.成都：成都信息工程大学，2019：2-3.

SUN Jinghui.Research on obstacle avoidance path planning algorithm of manipulator for grasping operation［D］.Chengdu：Chengdu University of Information Engineering，2019：2-3.

WEI K，REN B.A method on dynamic path planning for robotic manipulator autonomous obstacle avoidance based on an improved RRT algorithm［J］.Sensors，2018，18（2）：571.

HE Z C，HE Y L，ZENG B.Obstacle avoidance path planning for robot arm based on mixed algorithm of artificial potential field method and RRT［J］.Industrial Engineering Journal，2017，20：56-63.

许辉.面向人机协作的机器人视觉感知与运动规划方法研究［D］.苏州：苏州大学，2020：51-53.

XU Hui.Research on robot visual perception and motion planning for human-computer cooperation［D］.Suzhou：Suzhou University，2020：51-53.

潘思宇.基于改进RRT*算法的移动机器人运动规划与仿真［D］.马鞍山：安徽工业大学，2017：13-14.

PAN Siyu.Motion planning and simulation of mobile robot based on improved RRT* algorithm［D］.Maanshan：Anhui University of Technology，2017：13-14.

URMSON C，SIMMONS R.Approaches for heuristic-ally biasing RRT growth［C］//IEEE/RSJ International Conference on Intelligent Robots and Systems.IEEE，2003：1178-1183．

李金良，舒翰儒，刘德建，等.基于改进RRT路径规划算法［J］.组合机床与自动化加工技术，2021（2）：22-24.

LI Jinliang，SHU Hanru，LIU Dejian，et al.Path planning algorithm based on improved RRT［J］.Modular Machine Tool and Automatic Machining Technology，2021（2）：22-24.

REN J，MCISAAC K A，PATEL R V.Modified Newton′s method applied to potential field-based navigation for mobile robots［J］.IEEE Transactions on Robotics，2006，22（2）：384-391.

李赟程.基于ROS平台下高维构形空间中机械臂的运动规划研究［D］.北京：北京工业大学，2017：55-57.

LI Yuncheng.Research on motion planning of manipulator in high-dimensional configuration space based on ROS platform［D］.Beijing：Beijing University of Technology，2017：55-57.

LAVALLE S M，KUFFNER J.Randomized kinodynamic planning［J］.International Journal of Roboties Research，1999，20（5）：378-400.

代彦辉，梁艳阳，谢钢.基于RRT搜索算法的六自由度机械臂避障路径规划［J］.自动化技术与应用，2012，31（10）：31-37.

DAI Yanhui，LIANG Yanyang，XIE Gang.Obstacle avoidance path planning of 6-DOF manipulator based on RRT search algorithm［J］.Automation Technology and Application，2012，31（10）：31-37.

ELBANHAWI M，SIMIC M.Sampling-based robot motion planning［J］.IEEE Access，2014，2：56-77.

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