Dynamic event-triggered integrated task and motion planning for process-aware source seeking
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10514_2024_Article_10177.pdf
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2.43 MB
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6632f092e0da496f4d1c953f0e807969
Author(s)
Li, Yingke
Hou, Mengxue
Zhou, Enlu
Zhang, Fumin
Date Issued
October 12, 2024
Journal
Autonomous Robots
Publisher
Springer US
Citation
Li, Y., Hou, M., Zhou, E. et al. Dynamic event-triggered integrated task and motion planning for process-aware source seeking. Auton Robot 48, 23 (2024).
Version
Final published version
Abstract
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 dynamic flow field partition technique, 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 developed to enable efficient upper-level planning by investigating the optimal solution of the lower-level planner. In order to leverage the information acquisition and computational burden, a dynamic event-triggered mechanism is introduced to enable asynchronized estimation, region partitioning and re-plans. The proposed algorithm provides guaranteed convergence of the trajectory, and achieves automatic trade-offs of both exploration-exploitation and accuracy-efficiency. Simulations in a highly complicated and realistic ocean surface flow field validate the merits of the proposed algorithm, which demonstrates a significant reduction in computational burden without compromising planning optimality.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1007/s10514-024-10177-1
