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A method for handling multiple roadmaps and its use for complex manipulation planning

机译:一种处理多种路线图的方法及其用于复杂操作规划的用途

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We propose a resolution scheme that is aimed to solve a wide range of multi-robot planning problems in a 3D geometrical environment. This complements our efforts in developing manipulation planning algorithms [1, 15, 14] to deal with multiple robots and several movable objects problems. While the elementary planning step relies on Probabilistic Roadmap Methods (PRMs), the main contribution here is a reasoning level that adapts its control over the construction and extension of a number of roadmaps. The coherence between roadmaps and the hierarchical search process are done through a new type of graph built for a subset of objects or robots in the environment and called Elementary Kinematic Graph. This paper describes the main ingredients of the proposed framework, and its first results.
机译:我们提出了一个解决方案,该计划旨在解决3D几何环境中的各种多机器人规划问题。这补充了我们在开发操纵计划算法[1,15,14]的努力,以处理多个机器人和几个可移动对象问题。虽然初级规划步骤依赖于概率的路线图方法(PRMS),但这里的主要贡献是一种推理水平,它适应其对施工和扩展许多路线图的控制。路线图和分层搜索过程之间的一致性是通过为环境中的对象或机器人的子集构建的新类型图来完成,并称为基本的运动图。本文介绍了拟议框架的主要成分及其第一个结果。

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