Collision detection of humanoid robot arm under model uncertainties for handling of unknown object

Sang Duck Lee, Jae-Bok Song

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

    5 Citations (Scopus)

    Abstract

    In recent years human-robot collision safety has received considerable attention. Thus, various collision detection algorithms have been proposed to ensure human-robot collision safety, and these algorithms are usually model-based. However, the dynamic model of a robot arm is uncertain or unknown in cases where the arm performs a task with various objects or tools. In this paper, we propose a collision detection method for a robot arm that changes its tools or pick up various objects. For this purpose, a novel collision detection index, which is decoupled from the inevitable external force generated by the object being handled by the robot, is developed. The proposed index is verified through various simulations using a 7-DOF robot arm, and the corresponding results show that regardless of the object that is being handled, it is possible to detect collisions.

    Original languageEnglish
    Title of host publicationHumanoids 2015
    Subtitle of host publicationHumanoids in the New Media Age - IEEE RAS International Conference on Humanoid Robots
    PublisherIEEE Computer Society
    Pages718-721
    Number of pages4
    ISBN (Electronic)9781479968855
    DOIs
    Publication statusPublished - 2015 Dec 22
    Event15th IEEE RAS International Conference on Humanoid Robots, Humanoids 2015 - Seoul, Korea, Republic of
    Duration: 2015 Nov 32015 Nov 5

    Publication series

    NameIEEE-RAS International Conference on Humanoid Robots
    Volume2015-December
    ISSN (Print)2164-0572
    ISSN (Electronic)2164-0580

    Other

    Other15th IEEE RAS International Conference on Humanoid Robots, Humanoids 2015
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period15/11/315/11/5

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    Keywords

    • Adaptation models
    • Collision avoidance
    • Force
    • Indexes
    • Mathematical model
    • Robots
    • Torque

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Hardware and Architecture
    • Human-Computer Interaction
    • Electrical and Electronic Engineering

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