The beam analysis algorithm for path planning for redundant manipulators

被引:3
|
作者
Conkur, ES [1 ]
Buckingham, R
Harrison, A
机构
[1] Pamukkale Univ, Dept Mech Engn, TR-20017 Camlik, Denizli, Turkey
[2] OC Robot Ltd, Bristol BS9 4HR, Avon, England
[3] Univ Bristol, Dept Mech Engn, Bristol BS8 1TR, Avon, England
关键词
redundant robots; path planning; obstacle avoidance; potential field;
D O I
10.1016/j.mechatronics.2004.06.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An algorithm for path planning for redundant manipulators is presented in this paper. The algorithm uses harmonic potential fields defined globally in W-space (work space) for both path planning and obstacle avoidance. Although paths generated by harmonic potential fields are collision free for point robots, this is not always the case for manipulators when especially tight manoeuvring is required. To enhance collision avoidance ability of redundant manipulators, the beam analysis algorithm is proposed. The algorithm sends beams along the path generated for point robots to determine virtual obstacle points where collision with obstacle is likely to occur. The potential field is then regenerated to include these virtual obstacle points. Besides, the interaction between manipulator links and the potential field is accomplished by the control points situated on only proximal ends of the links. The virtual obstacle points and selected control points allow the manipulator to achieve tight manoeuvring in W-spaces cluttered with many obstacles. The improvement in performance is also clearly indicated by a benchmark scheme that compares the algorithms by means of the complexity of the environment with respect to link lengths of redundant manipulators. Furthermore, the beam analysis algorithm readily produces safer paths for mobile robots, which does not suffer too far or too close problems. Examples are included to demonstrate these features of the algorithm. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:67 / 94
页数:28
相关论文
共 50 条
  • [21] An integrated approach to inverse kinematics and path planning for redundant manipulators
    Bertram, Dominik
    Kuffner, James
    Dillmann, Ruediger
    Asfour, Tamim
    2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, : 1874 - 1879
  • [22] The virtual springs method: Path planning and collision avoidance for redundant manipulators
    McLean, A
    Cameron, S
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1996, 15 (04): : 300 - 319
  • [23] E-RRT*: Path Planning for Hyper-Redundant Manipulators
    Ji, Hongcheng
    Xie, Haibo
    Wang, Cheng
    Yang, Huayong
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (12): : 8128 - 8135
  • [24] Investigation on the Discretization of a Repetitive Path Planning Scheme for Redundant Robot Manipulators
    Shen, Limin
    Wen, Yuanmei
    IEEE ACCESS, 2020, 8 (08): : 23895 - 23903
  • [25] Trajectory Planning of Redundant Robot Manipulators Using QPSO Algorithm
    Guo, Jinchao
    Wang, Xinjin
    Zheng, Xiaowan
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 403 - 407
  • [26] Tip-following Path Planning and Its Performance Analysis for Hyper-redundant Manipulators
    Wang J.
    Tang L.
    Gu G.
    Zhu X.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2018, 54 (03): : 18 - 25
  • [27] A Review on Kinematic, Workspace, Trajectory Planning and Path Planning of Hyper-Redundant manipulators
    Du, Zhao-cai
    Ouyang, Guang-Yao
    Xue, Jun
    Yao, Yan-bin
    2020 10TH INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2020), 2020, : 444 - 449
  • [28] Biologically Inspired Node Generation Algorithm for Path Planning of Hyper-redundant Manipulators Using Probabilistic Roadmap
    Eric Lanteigne
    Amor Jnifene
    International Journal of Automation and Computing, 2014, (02) : 153 - 161
  • [29] Biologically Inspired Node Generation Algorithm for Path Planning of Hyper-redundant Manipulators Using Probabilistic Roadmap
    Jnifene, Amor (Amor.Jnifene@rmc.ca), 1600, Chinese Academy of Sciences (11):
  • [30] Biologically Inspired Node Generation Algorithm for Path Planning of Hyper-redundant Manipulators Using Probabilistic Roadmap
    Lanteigne, Eric
    Jnifene, Amor
    INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2014, 11 (02) : 153 - 161