TIE: Time-Informed Exploration for Robot Motion Planning
نویسندگان
چکیده
Anytime sampling-based methods are an attractive technique for solving kino-dynamic motion planning problems. These algorithms scale well to higher dimensions and can efficiently handle state control constraints. However, intelligent exploration strategy is required accelerate their convergence avoid redundant computations. Using ideas from reachability analysis, this work defines a “Time-Informed Set (TIS),” that focuses the search time-optimal after initial solution found. Such Time-Informed includes all trajectories potentially improve current best hence outside set redundant. Benchmarking experiments show based on TIS of planners.
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ژورنال
عنوان ژورنال: IEEE robotics & automation letters
سال: 2021
ISSN: ['2377-3766']
DOI: https://doi.org/10.1109/lra.2021.3064255