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Implementation and Test of Human-Operated and Human-Like Adaptive Impedance Controls on Baxter Robot

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Advances in Autonomous Robotics Systems (TAROS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8717))

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Abstract

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency.

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References

  1. Yang, C., Ganesh, G., Haddadin, S., Parusel, S., Albu-Schaeffer, A., Burdet, E.: Human-like adaptation of force and impedance in stable and unstable interactions. IEEE Transactions on Robotics 27(5), 918–930 (2011)

    Article  Google Scholar 

  2. Yang, C., Li, Z., Burdet, E.: Human like learning algorithm for simultaneous force control and haptic identification. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 710–715 (November 2013)

    Google Scholar 

  3. Pratt, G.A., Williamson, M.M.: Series elastic actuators. In: Proceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems 1995, Human Robot Interaction and Cooperative Robots, vol. 1, pp. 399–406 (August 1995)

    Google Scholar 

  4. Vanderborght, B., Albu-Schaeffer, A., Bicchi, A., Burdet, E., Caldwell, D.G., Carloni, R., Catalano, M., Eiberger, O., Friedl, W., Ganesh, G., Garabini, M., Grebenstein, M., Grioli, G., Haddadin, S., Hoppner, H., Jafari, A., Laffranchi, M., Lefeber, D., Petit, F., Stramigioli, S., Tsagarakis, N., Van Damme, M., Van Ham, R., Visser, L.C., Wolf, S.: Variable impedance actuators: A review. Robotics and Autonomous Systems 61(12), 1601–1614 (2013)

    Article  Google Scholar 

  5. Hogan, N.: Impedance control: An approach to manipulation. Journal of Dynamic Systems, Measurement, and Control 107(1), 8–16 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  6. Burdet, E., Franklin, D., Milner, T.: Human Robotics - Neuromechanics and motor control. MIT Press (2013)

    Google Scholar 

  7. Ajoudani, A., Tsagarakis, N.G., Bicchi, A.: Tele-impedance: Teleoperation with impedance regulation using a body-machine interface. The International Journal of Robotics Research 31(13), 1642–1656

    Google Scholar 

  8. Potvin, J.R., Brown, S.H.M.: Less is more: High pass filtering, to remove up to 99% of the surface EMG signal power, improves emg-based biceps brachii muscle force estimates. Journal of Electromyography and Kinesiology 14(3), 389–399 (2004)

    Article  Google Scholar 

  9. Baxter-research-robot. Baxter-research-robot profile, http://www.rethinkrobotics.com/products/Baxter-research-robot/

  10. Smith, A., Yang, C., Ma, H., Culverhouse, P., Cangelosi, A., Burdet, E.: Bimanual Robotic Manipulation with Biomimetic Joint/Task Space Hybrid Adaptation of Force and Impedance. In: The Proceedings of the 11th IEEE International Conference on Control & Automation to be held in Taichung, Taiwan, June 18-20 (in press, 2014)

    Google Scholar 

  11. Osu, R., Franklin, D.W., Kato, H., Gomi, H., Domen, K., Yoshioka, T., Kawato, M.: Short-and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. Journal of Neurophysiology 88(2), 991–1004 (2002)

    Google Scholar 

  12. Ajoudani, A., Tsagarakis, N.G., Bicchi, A.: Tele-impedance: Preliminary results on measuring and replicating human arm impedance in tele operated robots. In: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 216–222 (December 2011)

    Google Scholar 

  13. Ray, G.C., Guha, S.K.: Relationship between the surface e.m.g. and muscular force. Medical and Biological Engineering and Computing 21(5), 579–586 (1983)

    Article  Google Scholar 

  14. Wang, N., Yang, C., Lyu, M., Li, Z.: An EMG enhanced impedance and force control framework for telerobot operation in space. In: 2014 IEEE International Conference on Aerospace, pp. 1–12 (March 2014)

    Google Scholar 

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Liang, P., Yang, C., Wang, N., Li, Z., Li, R., Burdet, E. (2014). Implementation and Test of Human-Operated and Human-Like Adaptive Impedance Controls on Baxter Robot. In: Mistry, M., Leonardis, A., Witkowski, M., Melhuish, C. (eds) Advances in Autonomous Robotics Systems. TAROS 2014. Lecture Notes in Computer Science(), vol 8717. Springer, Cham. https://doi.org/10.1007/978-3-319-10401-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-10401-0_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10400-3

  • Online ISBN: 978-3-319-10401-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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