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  • Heiden, EricUniv Southern Calif, Dept Comp Sci, Los Angeles, CA 90007 USA. (author)

Bench-MR : A Motion Planning Benchmark for Wheeled Mobile Robots

  • Article/chapterEnglish2021

Publisher, publication year, extent ...

  • Institute of Electrical and Electronics Engineers (IEEE),2021
  • printrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:kth-295374
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295374URI
  • https://doi.org/10.1109/LRA.2021.3068913DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20210524
  • Planning smooth and energy-efficient paths for wheeled mobile robots is a central task for applications ranging from autonomous driving to service and intralogistic robotics. Over the past decades, several sampling-based motion-planning algorithms, extend functions and post-smoothing algorithms have been introduced for such motion-planning systems. Choosing the best combination of components for an application is a tedious exercise, even for expert users. We therefore present Bench-MR, the first open-source motion-planning benchmarking framework designed for sampling-based motion planning for nonholonomic, wheeled mobile robots. Unlike related software suites, Bench-MR is an easy-to-use and comprehensive benchmarking framework that provides a large variety of sampling-based motion-planning algorithms, extend functions, collision checkers, post-smoothing algorithms and optimization criteria. It aids practitioners and researchers in designing, testing, and evaluating motion-planning systems, and comparing them against the state of the art on complex navigation scenarios through many performance metrics. Through several experiments, we demonstrate how Bench-MR can be used to gain extensive insights from the benchmarking results it generates.

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  • Palmieri, LuigiRobert Bosch GmbH, Corp Res, D-70839 Stuttgart, Germany. (author)
  • Bruns, LeonardKTH,Robotik, perception och lärande, RPL(Swepub:kth)u1ub2eyp (author)
  • Arras, Kai O.Robert Bosch GmbH, Corp Res, D-70839 Stuttgart, Germany. (author)
  • Sukhatme, Gaurav S.Univ Southern Calif, Dept Comp Sci, Los Angeles, CA 90007 USA. (author)
  • Koenig, SvenUniv Southern Calif, Dept Comp Sci, Los Angeles, CA 90007 USA. (author)
  • Univ Southern Calif, Dept Comp Sci, Los Angeles, CA 90007 USA.Robert Bosch GmbH, Corp Res, D-70839 Stuttgart, Germany. (creator_code:org_t)

Related titles

  • In:IEEE Robotics and Automation Letters: Institute of Electrical and Electronics Engineers (IEEE)6:3, s. 4536-45432377-3766

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