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Complete Decentralized Method for On-Line Multi-Robot Trajectory Planning in Well-Formed Infrastructures

机译:完整的分散方法,用于良好的基础设施中的在线多机器人轨迹规划

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We consider a system consisting of multiple mobile robots in which the user can at any time issue relocation tasks ordering one of the robots to move from its current location to a given destination location. In this paper, we deal with the problem of finding a trajectory for each such relocation task that avoids collisions with other robots. The chosen robot plans its trajectory so as to avoid collision with other robots executing tasks that were issued earlier. We prove that if the destination of each task is an endpoint in a so-called well-formed infrastructure, then this mechanism is guaranteed to always succeed and provide a trajectory for the robot that reaches the destination without any collisions. The time-complexity of the approach is only quadratic in the number of robots. We demonstrate the applicability of the presented method on several real-world maps and compare its performance against a popular reactive approach that attempts to solve the collisions locally. Besides being dead-lock free, the presented approach generates trajectories that reach the goal significantly faster (up to 48% improvement) than the trajectories resulting from local collision avoidance.
机译:我们考虑由多个移动机器人组成的系统,其中用户可以在任何时间发布的重定位任务,订购其中一个机器人从其当前位置移动到给定目的地位置。在本文中,我们处理为每个这样的重定位任务找到轨迹的问题,该任务避免了与其他机器人的冲突。所选机器人计划其轨迹,以避免与执行前面发出的任务的其他机器人碰撞。我们证明,如果每个任务的目的地是所谓的良好的基础设施中的端点,则保证该机制始终成功并为到达目的地而没有任何冲突的机器人提供轨迹。方法的时间复杂性只有二次机器人的数量。我们展示了呈现的方法对几个真实地图的适用性,并比较其对流行反应方法的性能,试图在本地解决碰撞。除了无锁无锁之外,所提出的方法会产生比局部碰撞避免所产生的轨迹更快的轨迹(高达48%的改进)。

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