Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Teleoperation of a Hand-Arm-Glove

Author : Maham Malik 1

Date of Publication :10th April 2018

Abstract: This paper presents a controlled teleoperation system to deal with some of the key issues that arise in the teleoperation of robotic hand-arm systems.The system consists of two magnetic trackers and two sensitized gloves that guide two industrial robots and the mechanical hands they are fitted with respectively.The risk of collisions and achieving singular configurations, either internally or due to the limitations of the workspace is controlled by monitoring and stopping the state of the hand-arm system when necessary.The automated re-synchronization procedure allows the teleoperation to restart as soon as the danger is gone, and also allows the user to adjust the mapping when his / her posture is uncomfortable.The resulting system allows for intuitive, simple and secure teleoperation of a dual robotic hand-arm system.A glove system used to accurately and reliably capture hand kinematics.It can provide doctors with angular velocities, accelerations, and joint angles to adjust medical procedures.Three validations – raw data verification, static angle verification, and dynamic angle verification – are performed to verify the data glove's reliability and accuracy

Reference :

    1. B. Fang, D. Guo, F. Sun, H. Liu, and Y. Wu, “A robotic hand-arm teleoperation system using human arm/hand with a novel data glove,” in 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, 2015, doi: 10.1109/ROBIO.2015.7419712.
    2. S. Li, R. Rameshwar, A. M. Votta, and C. D. Onal, “Intuitive Control of a Robotic Arm and Hand System with Pneumatic Haptic Feedback,” IEEE Robot. Autom. Lett., 2019, doi: 10.1109/LRA.2019.2937483.
    3. G. Du and P. Zhang, “Markerless human-robot interface for dual robot manipulators using Kinect sensor,” Robot. Comput. Integr. Manuf., 2014, doi: 10.1016/j.rcim.2013.09.003.
    4. B. Fang, F. Sun, H. Liu, and D. Guo, “A novel data glove using inertial and magnetic sensors for motion capture and robotic arm-hand teleoperation,” Ind. Rob., 2017, doi: 10.1108/IR-07-2016-0179.
    5. J. Bimbo, C. Pacchierotti, M. Aggravi, N. Tsagarakis, and D. Prattichizzo, “Teleoperation in cluttered environments using wearable haptic feedback,” in IEEE International Conference on Intelligent Robots and Systems, 2017, doi: 10.1109/IROS.2017.8206180.
    6. J. Vogel, C. Castellini, and P. Van Der Smagt, “EMG-based teleoperation and manipulation with the DLR LWR-III,” in IEEE International Conference on Intelligent Robots and Systems, 2011, doi: 10.1109/IROS.2011.6048345.
    7. C. Meeker, T. Rasmussen, and M. Ciocarlie, “Intuitive Hand Teleoperation by Novice Operators Using a Continuous Teleoperation Subspace,” in Proceedings - IEEE International Conference on Robotics and Automation, 2018, doi: 10.1109/ICRA.2018.8460506.
    8. Y. Liu, Y. Zhang, B. Fu, and R. Yang, “Predictive control for robot arm teleoperation,” in IECON Proceedings (Industrial Electronics

Recent Article