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Safe Teleoperation of a Dual Hand-Arm Robotic System

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 253))

Abstract

This paper introduces a supervised teleoperation system to cope with some of the main problems that arise in the teleoperation of hand-arm robotic systems. The set-up consists of two magnetic trackers and two sensorized gloves that command, respectively, two industrial robots and the mechanical hands with which they are equipped. The basic mapping aspects both at hand and arm level are discussed, as well as the communication issues related with the implementation done based on ROS (Robot Operating System). The risk of collisions and of reaching singular configurations, either internal or due to the workspace limits, is controlled by monitoring the state of the hand-arm system and stoping it when necessary. An automatic re-synchronization procedure allows to resume the teleoperation as soon as the risk has disappeared, and also permits the user to change the mapping when his/her posture becomes uncomfortable. The resulting system allows an intuitive, simple and safe teleoperation of a dual hand-arm robotic system.

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References

  1. Basañez, L., Suárez, R.: Teleoperation. In: Nof, S. (ed.) Springer Handbook of Automation, pp. 449–468. Springer (2009)

    Google Scholar 

  2. Speeter, T.: Transforming human hand motion for telemanipulation. Presence 1(1), 63–78 (1992)

    Google Scholar 

  3. Rohling, R., Hollerbach, J., JAcobsen, S.: Optimized fingertip mapping: a general algorithm for robotic hand teleoperation. Presence 2(3), 203–220 (1993)

    Google Scholar 

  4. Peer, A., Einenkel, S., Buss, M.: Multi-fingered telemanipulation - mapping of a human hand to a three finger gripper. In: Proc. 17th IEEE Int. Symp. on Robot and Human Interactive Communication, pp. 465–470 (2008)

    Google Scholar 

  5. Rosell, J., Suárez, R., Rosales, C., Pérez, A.: Autonomous motion planning of a hand-arm robotic system based on captured human-like hand postures. Autonomous Robots 31(1), 87–102 (2011)

    Article  Google Scholar 

  6. Pao, L., Speeter, T.H.: Transformation of human hand positions for robotic hand control. In: Proc. IEEE Int. Conf. on Robotics and Automation, pp. 1758–1763 (1989)

    Google Scholar 

  7. Hong, J., Tan, X.: Calibrating a vpl dataglove for teleoperating the utah/mit hand. In: Proceedings of IEEE Int. Conf. on Robotics and Automation, pp. 1752–1757 (1989)

    Google Scholar 

  8. Abe, K., Saito, H., Ozawa, S.: Virtual 3-D interface system via hand motion recognition from two cameras. IEEE Trans. on Systems, Man, and Cybernetics - Part A: Systems and Humans 32(4), 536–540 (2002)

    Article  Google Scholar 

  9. Wachs, J.P., Stern, H., Edan, Y.: Cluster labeling and parameter estimation for the automated setup of a hand-gesture recognition system. IEEE Trans. on Systems, Man, and Cybernetics - Part A: Systems and Humans 35(6), 932–944 (2005)

    Article  Google Scholar 

  10. Infantino, I., Chella, A., Dindo, H., Macaluso, I.: Cognitive architecture for robotic hand posture learning. IEEE Trans. on Systems, Man, and Cybernetics - Part C: Applications and Reviews 35(1), 42–52 (2005)

    Article  Google Scholar 

  11. Tao Geng, M.L., Hülse, M.: Transferring human grasping synergies to a robot. Mechatronics 21(1), 272–284 (2011)

    Article  Google Scholar 

  12. Pérez, A., Rosell, J.: An assisted re-synchronization method for robotic teleoperated tasks. In: Proc. IEEE Int. Conf. on Robotics and Automation, pp. 886–891 (2011)

    Google Scholar 

  13. Colasanto, L., Suárez, R., Rosell, J.: Hybrid mapping for the assistance of teleoperated grasping tasks. IEEE Transactions on Systems, Man, and Cybernetics: Systems 43(2), 651–660 (2013)

    Article  Google Scholar 

  14. Peer, A., Stanczyk, B., Buss, M.: Haptic Telemanipulation with Dissimilar Kinematics. In: Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 3493–3498 (2005)

    Google Scholar 

  15. Schinstock, D.: Approximate solutions to unreachable commands in teleoperation of a robot. Robotics and CIM 14(3), 219–227 (1998)

    Google Scholar 

  16. Pérez, A., Rosell, J.: A roadmap to robot motion planning software development. Computer Applications in Engineering Education 18(4), 651–660 (2010)

    Article  Google Scholar 

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Correspondence to Jan Rosell .

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© 2014 Springer International Publishing Switzerland

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Rosell, J., Suárez, R., Pérez, A. (2014). Safe Teleoperation of a Dual Hand-Arm Robotic System. In: Armada, M., Sanfeliu, A., Ferre, M. (eds) ROBOT2013: First Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-319-03653-3_44

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  • DOI: https://doi.org/10.1007/978-3-319-03653-3_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03652-6

  • Online ISBN: 978-3-319-03653-3

  • eBook Packages: EngineeringEngineering (R0)

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