Motion planning of limb robot based on progressive variable structure GA

被引:0
作者
Liu L. [1 ,2 ]
Wang L.-H. [1 ]
机构
[1] College of Engineering and Technology, Northeast Forestry University
[2] College of Management, Harbin University of Commerce
来源
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2010年 / 31卷 / 12期
关键词
Genetic algorithm; Human-robot interface; Limb robot; Motion planning;
D O I
10.3969/j.issn.1006-7043.2010.12.017
中图分类号
学科分类号
摘要
To make the robot's ends operate while walking, a novel three-limb redundancy robot was proposed. The structure and the human-robot interface design of the three-limb robot were introduced. A progressive genetic planning strategy was developed for the motion planning of the robot, which can map the position and posture in Cartesian space coordinate into the joint space coordinate automatically and effectively. The progressive genetic motion planning is subjected to an oscillation at a local pole in dynamic environment, accordingly a kind of variable structure genetic algorithm was presented on the basis of progressive genetic planning to remedy the flaw effectively. Experimental results show that the progressive genetic planning is effective in static environment, and that the variable structure genetic algorithm is effective for motion planning in dynamic environment.
引用
收藏
页码:1662 / 1667
页数:5
相关论文
共 8 条
  • [1] Xiao J., Xiao J.Z., Xi N., Fuzzy controller for wall-climbing microrobots, IEEE Transactions on Fuzzy System, 12, 5, pp. 466-480, (2004)
  • [2] Koyachi N., Arai T., Adachi H., Itoh Y., Integrated limb mechanism of manipulation and locomotion fro dismantling robot-basis concept for control and mechanism, Proceedings of the 1993 IEEE International Workshop on Advanced Robotics, pp. 81-84, (1993)
  • [3] Fan J., Research on three limb robot, pp. 73-92, (2007)
  • [4] Henrich D., Wurll C., Worn H., On-line path planning by heuristic search, IECON'98 Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society, pp. 2239-2244, (1998)
  • [5] Yano F., Tooda Y., Preferable movement of a multi-joint robot arm using genetic algorithm, Part of the SPIE Conference on Intelligent Robots and Computer Vision, pp. 80-88, (1999)
  • [6] Shintaku E., Minimum energy trajectory for an underwater manipulator and its simple planning method by using a genetic algorithm, Adv Robotics, 13, 2, pp. 115-138, (1999)
  • [7] Wang X., Research on two-wheeled self-balanced robot, pp. 97-98, (2007)
  • [8] Beaumont R.G., Crowder R.M., Real-time collision avoidance in tow-armed robotic systems, Computer-Aided Engineering Journal, 11, 5, pp. 233-240, (1991)