多移动机器人运动规划:一种时空MCA方法

ICINCO-RA Pub Date : 2006-08-01 DOI:10.5220/0001218103980403
F. Marchese
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引用次数: 0

摘要

本文描述了一种由具有通用形状和尺寸(用户自定义)和不同运动学的移动机器人组成的多机器人快速路径规划方法。我们开发了一种算法,计算每个机器人从开始姿势到目标姿势的最短无碰撞路径,同时考虑它们的真实形状,避免与静态障碍物和其他机器人的碰撞。它基于四维时空中吸引电位值的定向(各向异性)传播,使用多层元胞自动机(MCA)架构。该算法根据嵌入在5D空间中的潜在超曲面的最小山谷搜索所有最优无碰撞轨迹。
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Multiple mobile robots motion-planning: An approach with space-time MCA
In this paper is described a fast Path-Planner for Multi-robot composed by mobile robots having generic shapes and sizes (user defined) and different kinematics. We have developed an algorithm that computes the shortest collision-free path for each robot, from the starting pose to the goal pose, while considering their real shapes, avoiding the collisions with the static obstacles and the other robots. It is based on a directional (anisotropic) propagation of attracting potential values in a 4D Space-Time, using a Multilayered Cellular Automata (MCA) architecture. This algorithm makes a search for all the optimal collision-free trajectories following the minimum valley of a potential hypersurface embedded in a 5D space.
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