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Controlling contact by integrating proximity and force sensing

  • Section 8: Compliance And Force Control
  • Conference paper
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Experimental Robotics II

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 190))

Abstract

This paper describes a sensor-based robot control method for handling non contact to contact transitions in partially unknown environment. The proposed approach is based on the integration of proximity and force/torque sensing capabilities. Proximity information is used not only to avoid undesired contacts during robot operation but also to improve efficiency in terms of speed and safety, when the contact is desired. By detecting in advance the target surface to be reached, it is possible to plan the trajectory in order to optimize the approach velocity profile, as well as to maintain the impact forces at the desired level by means of force control.

Advanced Robotics Technology and Systems Laboratory

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References

  1. De Schutter, J. and Van Brussel, H. — Compliant Robot Motion — Int. J. Rob. Res., Vol. 7, No. 4, pp.3–33, 1988.

    Google Scholar 

  2. De Schutter, J. — Improved Force Control Laws for Advanced Tracking Applications — Proc. IEEE Conf. Rob. Automation, pp.1497–1502, 1988.

    Google Scholar 

  3. V. Lumelsky, E. Cheung — Motion Planning for Robot Arm Manipulators with Proximity Sensing — IEEE, 1988, pp. 740–745

    Google Scholar 

  4. O. Khatib — Real Time Obstacle Avoidance fo Manipulators and Mobile Robots — The International Journal of Robotics, Vol. 5, No. 1, pp. 90–98, Spring 1986.

    Google Scholar 

  5. O. Khatib, J. Burdick — Motion and Force Control of Robot Manipulators — Proc. of IEEE Conf. on Robotics and Automation, pp. 1381–1386, San Francisco, CA, April 1986.

    Google Scholar 

  6. R. L. Andersson — Aggressive Trajectory Generator for a Robot Ping—Pong Player — IEEE Control System Magazine, pp. 15–20, February 1989.

    Google Scholar 

  7. R. L. Andersson — Dynamic Sensing in a Ping Pong Playing Robot — IEEE Transactions on Robotics and Automation, Vol. 5, No. 6, pp. 728–739, December 1989.

    Google Scholar 

  8. G. Buttazzo — HAREMS: Hierachical Architecture for Robotics Experiments with Multiple Sensors — Proc. of 5th Int. Conf. on Advanced Robotics ('91 ICAR), Vol. 1, pp. 43–48, Pisa, Italy, June 19–22, 1991.

    Google Scholar 

  9. G. Hirzinger, J. Dietrich — Multisensory Robots and Sensor-Based Path Generation — Proc. of IEEE Conf. on Robotics and Automation, San Francisco, CA, April 1986.

    Google Scholar 

  10. B. Espiau — Sensory-Based Control Robustness Issues and Modelling Techniques Application to Proximity Sensing — Nato ARW on “Kinematic and Dynamic Issues in Sensor-Based Control”, Il Ciocco, Italy, Nov. 1987.

    Google Scholar 

  11. A. Fiorillo, B. Allotta, P. Dario, R. Francesconi — An Ultrasonic Range Sensor Array for a Robotic Fingertip — Sensor and Actuators 17, 1/2, 1989, pp. 103–106.

    Google Scholar 

  12. V. Hayward, L. Daneshemend, A. Nilakantan — Model Based Trajectory Planning Using Preview — Report TR-CIM-88-9, pp. 1–19, McGill Research Center for Intelligent Machines, Mcgill University, Montreal, March 1988,.

    Google Scholar 

  13. V. Hayward, J. Lloyd — Real-Time Trajectory Generator Using Blend Functions — Report TR-CIM-88-9, McGill Research Center for Intelligent Machines, Mcgill University, Montreal, IEEE 1991.

    Google Scholar 

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Raja Chatila Gerd Hirzinger

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© 1993 Springer-Verlag London Limited

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Allotta, B., Buttazzo, G., Dario, P., Guglielmelli, E. (1993). Controlling contact by integrating proximity and force sensing. In: Chatila, R., Hirzinger, G. (eds) Experimental Robotics II. Lecture Notes in Control and Information Sciences, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0036156

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  • DOI: https://doi.org/10.1007/BFb0036156

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19851-2

  • Online ISBN: 978-3-540-39323-8

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