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Developing strategies for manipulator path planning with orientation constraints

机译:具有方向约束的操纵器路径规划的策略

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The paper discusses the work undertaken at the UK National Advanced Robotics Research Centre in the area of path planning. Experiments have been undertaken with the best first planner (BFP) and random path planner (RPP) algorithms developed at Stanford University by Barraquand & Latombe (Rep. no. STAN-CS-89-1259, 1989). These look particularly suitable for solving a wide range of motion planning problems and for providing the basic mechanism for path planning in an advanced robotic architecture. From this basic mechanism higher level strategies have been developed to enable paths to be planned with a predefined orientation of the end effector at the goal location or maintaining an orientation throughout the whole path. These functions are achieved through placing additional constraints on the search through configuration space and modifying the workspace potential.
机译:本文讨论了在路径规划领域英国国家先进机器人研究中心所开展的工作。通过Barraquand和Latombe(Rep.No.No.No.Stan-CS-89-1259,1989),已经采用了在斯坦福大学开发的最佳策划(BFP)和随机路径规划(RPP)算法(RPP)算法进行了实验。这些看起来特别适用于解决各种运动规划问题,并为先进的机器人架构提供路径规划的基本机制。从这种基本机制开始,已经开发了更高的策略,以使能够在目标位置处的末端执行器的预定取向或保持整个路径的定向的路径。这些功能是通过在通过配置空间的搜索和修改工作空间电位的额外约束来实现的。

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