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SENSOR-BASED MOTION CONTROL USING ADAPTIVE NAVIGATION RULES IN THE DYNAMIC ENVIRONMENT FOR MOBILE ROBOT 被引量:1

SENSOR-BASED MOTION CONTROL USING ADAPTIVE NAVIGATION RULES IN THE DYNAMIC ENVIRONMENT FOR MOBILE ROBOT
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摘要 In the multi-robots system, it's important for a robot to acquire adaptivenavigation rules for reaching the goal and avoiding other robots and obstacles and in the real-timeenvironment. An efficient approach to collision-avoidance in multi-robots system is suggested . Itis based on velocity information of moving objects and the distances between the robots and theobstacles in three specified directions and makes the robot navigate adaptively without collisionwith each other in a complicated situation. The effectiveness of algorithm is proved by the severalsimple examples in the physical world. In the multi-robots system, it's important for a robot to acquire adaptivenavigation rules for reaching the goal and avoiding other robots and obstacles and in the real-timeenvironment. An efficient approach to collision-avoidance in multi-robots system is suggested . Itis based on velocity information of moving objects and the distances between the robots and theobstacles in three specified directions and makes the robot navigate adaptively without collisionwith each other in a complicated situation. The effectiveness of algorithm is proved by the severalsimple examples in the physical world.
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2003年第2期123-127,共5页 中国机械工程学报(英文版)
关键词 adaptive navigation mobile robot obstacle-avoidance adaptive navigation mobile robot obstacle-avoidance
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  • 1Peter S, Manuela V. A layered approach to learning client behaviours in the RoboCup soccer server. Journal of Applied Artificial Intelligence, 1998, 12(2~3): 165~188.
  • 2Manuela V, Peter S, Hart W, et al. CMUnited-97 small-robot team.In:Kitano H ed, RoboCup-97: Robot soccer World Cup 1, Berlin: Springer,1998:242~256.
  • 3Reeds J A, Shepp L A. Optimal paths for a car that goes both forwards and backwards. Journal of Pacific Mathematics. 1990,145(2): 367-393
  • 4Bicchi A, Casalino G, Santilli C. Planning shortest bounded-curvature paths for a class of nonholomic vehicles among obstacles. Journal of lntelligent Robotics systems. 1996. 16(2): 387-405
  • 5Fujimura, Sambe. A hierarchical strategy for path planning among moving obstacles. IEEE Transaction Robotics and Automation, 1989, 5(1): 61-69.

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