Using contact-based inducement for efficient navigation in a congested environment

Moondeep Chandra Shrestha, Yosuke Nohisa, Alexander Schmitz, Shouichi Hayakawa, Erika Uno, Yuta Yokoyama, Hayato Yanagawa, Keung Or, Shigeki Sugano

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    As robots progressively continue to enter human lives, it becomes important for robots to navigate safely and efficiently in crowded environments. In fact, efficient navigation in crowded areas is an important prerequisite for successful coexistence between humans and robots. In this paper, we explore an unconventional idea wherein a robot tries to achieve a more efficient navigation by influencing an obstructing human to move away by means of contact. First, preliminary human reaction experiments were conducted wherein we established that we can successfully induce a human to move in a desired direction. Following this result, we have proposed a novel motion planning approach which considers inducement by contact. The system is then verified through simulation and real experiments. The results show us that the proposed method can be utilized for safer and more efficient navigation in a crowded, but relatively static environment.

    Original languageEnglish
    Title of host publicationProceedings - IEEE International Workshop on Robot and Human Interactive Communication
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages456-461
    Number of pages6
    Volume2015-November
    ISBN (Print)9781467367042
    DOIs
    Publication statusPublished - 2015 Nov 20
    Event24th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2015 - Kobe, Japan
    Duration: 2015 Aug 312015 Sept 4

    Other

    Other24th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2015
    Country/TerritoryJapan
    CityKobe
    Period15/8/3115/9/4

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition

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