基于过程感知的寻源集成任务与运动规划

Yingke Li, Mengxue Hou, Enlu Zhou, Fumin Zhang
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引用次数: 1

摘要

流场中的过程感知源寻找问题(process-aware source seeking, PASS)的目标是在考虑流场能量消耗的情况下,寻找到达未知源位置的信息轨迹。在现有流场划分方法的基础上,本文将该问题表述为任务与运动规划(task and motion planning, TAMP)问题,并提出了一种双层分层规划框架,通过引入区域间结点来解耦区域间过渡和区域内轨迹的规划。通过研究底层规划器的最优解,利用集成策略实现高效的上层规划。该算法保证了轨迹的收敛性,实现了勘探与开采的自动权衡,仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Task and Motion Planning for Process-aware Source Seeking
The process-aware source seeking (PASS) problem in flow fields aims to find an informative trajectory to reach an unknown source location while taking the energy consumption in the flow fields into consideration. Taking advantage of the existing methods on flow field partition, this paper formulates this problem as a task and motion planning (TAMP) problem and proposes a bi-level hierarchical planning framework to decouple the planning of inter-region transition and inner-region trajectory by introducing inter-region junctions. An integrated strategy is utilized to enable efficient upper-level planning by investigating the optimal solution of the lower-level planner. The proposed algorithm provides guaranteed convergence of the trajectory, and achieves automatic trade-off between exploration and exploitation, which has been validated by the simulation results.
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