Abstract
We are proposing a supervised learning approach in robot force control which enables robot programming by demonstration through an operator. The learning element of the controller is based on a neural network prestructured to represent knowledge in terms of rules. Tasks are demonstrated in a virtual environment. Visual feedback using sensor ball devices and graphic display of forces as well as visual and proprioceptive feedback using haptic interfaces are being considered. Experimental results are shown for the “Put Block in a Corner of a Box Problem”.
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References
Brian Carlisle. New technology needs, Adept Technology, Inc. In Sixth International Symposium on Robotics Research, October 1993.
Daniel E. Whitney. Historical perspective and state of the art in robot force control. The International Journal of Robotics Research, 6(1):3–14, 1987.
Gerd Hirzinger, Bernhard Brunner, Johannes Dietrich, and Johann Heindl. Sensor-based space robotics — rotex and its telerobotic features. IEEE Trans. on Robotics and Automation, 9(5):649–663, October 1993.
G. Hirzinger and J.Heindl. Sensor programming — a new way for teaching robot parts and forces/torques simultaneously. In Proc. of 3rd Int. Conf. on Robot Vision and Sensory Controls, pages 549–558, 1983.
Haruhiko Asada and Haruo Izumi. Direct teaching and automatic program generation for the hybrid control of robot manipulators. In Proc. of the IEEE Int. Conf. on Robotics and Automation, pages 1401–1406, April 1987.
Haruhiko Asada. Teaching and learning of compliance using neural nets: Representation and generation of nonlinear compliance. In Proc. of the IEEE Int. Conf. on Robotics and Automation, pages 1237–1244, May 1990.
Guo-Quing Wei, Gerhard Hirzinger, and Bernhard Brunner. Sensorimotion coordination and sensor fusion by neural networks. In Proc. IEEE Int. Conf. on Neural Networks, San Francisco, 1993.
Bernhard Brunner, Klaus Arbter, and Gerd Hirzinger. Task directed programming of sensor based robots. In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, München, Germany, September 1994.
Gerhard Hirzinger. Robot-teaching via force-torque-sensors. In Proc. EMCSR'82, 6th European Meeting on Cybernetics and Systems Res., Wien, 1982.
Johannes Kiener. Neuronale Netze und Fuzzy Systeme in der Regelung. Diplomarbeit, DLR Oberpfaffenhofen IB 515-94-15, July 1994.
Grigore Burdea and Philippe Coiffet. Virtual Reality Technology. John Wiley Sons, Inc., 1994.
Thomas H. Massie and J. Kenneth Salisbury. The phantom haptic interface: A device for probing virtual objects. In Proc. of the ASME Winter Annual Meeting, Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, Chicago, November 1994.
Yasuyoshi Yokokohji and Tsuneo Yoshikawa. Bilateral control of master-slave manipulators for ideal kinesthetic coupling. In Proc. of the IEEE Int. Conf. on Robotics and Automation, 1992.
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© 1997 Springer-Verlag London Limited
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Koeppe, R., Hirzinger, G. (1997). Learning compliant motions by task-demonstration in virtual environments. In: Khatib, O., Salisbury, J.K. (eds) Experimental Robotics IV. Lecture Notes in Control and Information Sciences, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035220
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DOI: https://doi.org/10.1007/BFb0035220
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