• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (5): 120-125.

• 论文 • 上一篇    下一篇

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未知环境下基于行为的机器人模糊路径规划方法

付宜利;靳保;王树国;曹政才   

  1. 哈尔滨工业大学机器人研究所
  • 发布日期:2006-05-15

BEHAVIOR-BASED ROBOT FUZZY MOTION PLANNING APPROACH IN UNKNOWN ENVIRONMENTS

FU Yili;JIN Bao;WANG Shuguo;CAO Zhengcai   

  1. Robotics Institute, Harbin Institute of Technology
  • Published:2006-05-15

摘要: 针对非结构化环境下的多关节机器人实时避障问题,应用基于模糊逻辑方法,提出了一种新的未知环境下基于行为的机器人实时路径规划方法。敏感皮肤被用来探测机器人周围的障碍物。规划方法包括接近目标和绕过障碍两个行为。机器人根据周围环境的信息选择合适的行为,从而实现机器人路径规划的目标。由于应用了模糊控制,使方法具有较好的实时性,可以应用到存在未知障碍物的机器人在线运动规划中。仿真环境中存在多种类型的未知障碍物,机器人均在算法的控制下到达了目标位姿,证实了算法的有效性。

关键词: 机器人, 路径规划, 模糊控制, 行为

Abstract: A new behavior-based robot motion planning approach, which uses the fuzzy logic method, is proposed for collision avoidance of multi-joint robot operating in unstructured environments. The sensitive skin is used to build a description of the robot’s surroundings. This approach includes two behaviors: target reaching behavior and obstacle avoidance behavior. The robot selects appropriate one of the two behaviors according to the situation around the robot to reach the target. The computation time is reduced and the algorithm can work in real time in unknown environments. It has been tested in a variety of working scenarios, providing each time a collision-free trajectory for the robot manipulator. Effectiveness of the proposed approach is verified through simulation.

Key words: Fuzzy control, Behavior, Motion planning, Robot

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