skip to main content
10.1145/2559636.2559812acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
poster

Inertial motion capture based reference trajectory generation for a mobile manipulator

Published:03 March 2014Publication History

ABSTRACT

This paper presents a human-robot interaction system integrating a mobile manipulator with a full-body inertial motion capture suit. The framework aims to provide an intuitive, effective and easy-to-deploy teleoperation interface. User control intent is acquired by the motion capture system in real-time, processed and relayed to the mobile manipulator wirelessly. Specifically, body center of mass and the right hand kinematic data of the user are used to generate position and orientation references for the robot base and manipulator, respectively. The left arm is employed to provide high-level user commands such as "Manipulator On/Off", "Base On/Off" and "Manipulator Pause/Resume". The efficacy of the presented system was demonstrated in real-time teleoperation experiments using KUKA youBot mobile manipulator accomplishing pick-and-place tasks.

References

  1. Cho, S. K., Jin, H. Z., Lee, J. M., and Yao, B. Teleoperation of a mobile robot using a force-reflection joystick with sensing mechanism of rotating magnetic field. IEEE/ASME Transactions on Mechatronics 15, 1 (February), 17--26. DOI= http://dx.doi.org/10.1109/TMECH.2009.2013848.Google ScholarGoogle Scholar
  2. Ding, C. J., Duan, P., Zhang, M. L., and Zhang, Y. F. Design of mobile robot teleoperation system based on virtual reality. In IEEE International Conference on Automation and Logistics, Shenyang, 2023--2028. DOI= http://dx.doi.org/10.1109/ICAL.2009.5262601.Google ScholarGoogle Scholar
  3. Fukuda, O., Tsuji, T., Kaneko, M., and Otsuka, A. A human-assisting manipulator teleoperated by EMG signals and arm motions. IEEE Transactions on Robotics and Automation 19, 2 (April), 210--222. DOI= http://dx.doi.org/10.1109/TRA.2003.808873.Google ScholarGoogle ScholarCross RefCross Ref
  4. Hu, C., Meng, M. Q., Liu, P. X. P., and Wang, X. Visual gesture recognition for human-machine interface of robot teleoperation. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1560--1565. DOI= http://dx.doi.org/10.1109/IROS.2003.1248866.Google ScholarGoogle Scholar
  5. Kofman, J., Wu, X. H., Luu, T. J., and Verma, S. Teleoperation of a robot manipulator using a vision-based human-robot interface. IEEE Transactions on Industrial Electronics 52, 5 (October), 1206--1219. DOI= http://dx.doi.org/10.1109/TIE.2005.855696.Google ScholarGoogle ScholarCross RefCross Ref
  6. Rosen, J. and Perry, J. C. Upper limb powered exoskeleton design. IEEE/ASME Transactions on Mechatronics 12, 4 (August 20), 408--417. DOI= http://dx.doi.org/10.1109/TMECH.2007.901934.Google ScholarGoogle Scholar
  7. Song, W. B., Guo, X. J., Jiang, F. J., Yang, S., Jiang, G. X., and Shi, Y. F. Teleoperation humanoid robot control system based on Kinect sensor. In International Conference on Intelligent Human-Machine Systems and Cybernetics, Nanchang, Jiangxi, 264--267. DOI= http://dx.doi.org/10.1109/IHMSC.2012.159. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Inertial motion capture based reference trajectory generation for a mobile manipulator

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
        March 2014
        538 pages
        ISBN:9781450326582
        DOI:10.1145/2559636

        Copyright © 2014 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 March 2014

        Check for updates

        Qualifiers

        • poster

        Acceptance Rates

        HRI '14 Paper Acceptance Rate32of132submissions,24%Overall Acceptance Rate242of1,000submissions,24%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader