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Motion planning and coordination of multi-agent systems

机译:多主体系统的运动计划和协调

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Development of a navigation scheme for a group of cooperative mobile robots is attempted in this paper. Potential field method is used to generate collision-free movement of a robot while it encounters other robots as obstacles. Finally, a cooperation scheme is proposed based on human behaviour to optimise motion strategies of robots treating each other as their obstacles. Computer simulations have been conducted for three different cases with four, eight and 12 robots negotiating a common dynamic environment. In each case, 100 different scenarios are considered and travelling times of all the robots are computed separately. The scenes in which the robots meeting collision is treated as a failure scenario and travelling time is not calculated. Performance of cooperation scheme has improved with the increase in a number of robots.
机译:本文尝试开发一组协作式移动机器人的导航方案。势场方法用于在机器人遇到其他机器人作为障碍时生成机器人的无碰撞运动。最后,提出了一种基于人类行为的合作方案,以优化将彼此视为障碍的机器人的运动策略。针对四个不同的情况,已经进行了计算机模拟,其中四个,八个和十二个机器人在共同的动态环境中进行谈判。在每种情况下,都会考虑100种不同的场景,并分别计算所有机器人的行驶时间。将机器人相撞的场景视为故障场景,并且不计算行驶时间。随着机器人数量的增加,合作方案的性能有所提高。

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