Search-based task and motion planning for hybrid systems: Agile autonomous vehicles

Published: 01 Jan 2023, Last Modified: 02 Feb 2025Eng. Appl. Artif. Intell. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Agile automated driving on gravel roads of arbitrary shape (e.g., S-like curves).•Automated decision when to go into which mode (e.g. drifting).•Algorithm efficiently searches in 7D state-space with nonlinear, unstable dynamics.•The space is explored by sampling different combinations of motion primitives.•Local model approximations with mode-feasibility-map to simplify planning w.l.o.g.
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