Abstract
Manual exploration and manipulation of unknown objects in unstructured environments require sensory guided motor control strategies. For humans or general purpose robots, the presence of compliant fingerpads is crucial in enhancing the stability of grasp and manipulability, and the objects they encounter are often compliant. In this paper, we apply well known system identification and control methods to enable successful grasping and manipulation of compliant objects using compliant fingerpads. Through the use of linear and nonlinear lumped parameter models, we describe the dynamic relationships between the external forces exerted on the fingers and the contact forces imposed on the object. We present two approaches to realize the necessary control actions, one where the identification of the system parameters is followed by control, and the other where an adaptive control strategy is used. We illustrate the importance of tactile information in not only satisfying the necessary interface constraints, but also in simplifying the identification and control procedures for successful performance of grasping and manipulation tasks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
David Marr, Vision, W.H. Freeman and Company, San Francisco, CA, 1982.
E.C. Hildreth and J.M. Hollerbach, Artificial Intelligence: Computational approach to vision and motor control, in F. Plum, editor, Handbook of Physiology, section 1: The nervous system, Volume V: Higher functions of the brain, Part II, pages 605–642, American Physiological Society, Bethesda, MD, 1987.
J.K. Salisbury, Active stiffness control of a manipulator in cartesian coordinates, In Proceedings of the IEEE Conference on Decision and Control, Albuquerque, NM, 1980.
N. Hogan, Impedance control: An approach to manipulation, Parts I-III, Journal of Dynamic Systems, Measurement and Control, 107, 1–24, March 1985.
A.A. Goldenberg, Implementation of force and impedance control in robot manipulators, In Proceedings of the IEEE Conference on Robotics and Automation, Phoenix, AZ, 1988.
J.J. Slotine and W. Li, On the adaptive control of robot manipulators, International Journal of Robotics Research, 6, 49–59, 1987.
A.B.A. Cole, J.E. Hauser, and S. Sastry, Kinematics and control of multifingered hands with rolling contact, IEEE Transactions on Automatic Control, 34, 398–405, April 1989.
I. Darian-Smith, The sense of touch: Performance and peripheral neural processes, In Handbook of Physiology: The Nervous System, Sensory Processes, volume III, pages 147–155, Bethesda, MD, 1984.
M.A. Srinivasan, J.M. Whitehouse, and R.H. Lamotte, Tactile detection of slip: Surface microgeometry and peripheral neural codes, Journal of Neurophysiology, 63, 1323–1332, 1990a.
T.B. Sheridan, Telerobotics, Automation, and Supervisory Control, MIT Press, Cambridge, MA, 1992.
K.S. Narendra and A.M. Annaswamy, Stable Adaptive Systems, Prentice Hall, Englewood Cliffs, N.J., 1989.
R.S. Johansson and G. Westling, Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects, Exp. Brain Res., 56, 550–564, 1984.
A.M. Annaswamy and D. Seto, Object manipulation using compliant fingerpads: Modeling and control, ASME Journal of Dynamic Systems, Measurement, and Control, vol. 115, pp. 638–648, December 1993.
S. Karason, Adaptive Control in the Presence of Input Constraints, MS thesis, M.I.T., Cambridge, MA., 1993.
A. Isidori, Nonlinear Control Systems, Springer-Verlag, New York, NY, 1989.
A.M. Annaswamy, D. Seto, and J. Baillieul, Adaptive control of a class of nonlinear systems, In Proceedings of the Seventh Yale Workshop on Applications of Adaptive and Learning Systems, New Haven, CT, May 1992.
D. Seto, Stabilization Problems in the Control of Super-Articulated Mechanical Systems, PhD Thesis, Department of Aerospace/Mechanical Engineering, Boston University, 1993.
D. Seto, A.M. Annaswamy, and J. Baillieul, Adaptive control of a class of nonlinear systems with a triangular structure, IEEE Transactions on Automatic Control, pp. 1411–1428, July 1994.
R.D. Howe, A force-reflecting teleoperating hand system for the study of tactile sensing in precision manipulation, In Proceedings of the IEEE Conference on Robotics and Automation, Nice, France, 1992.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Annaswamy, A.M., Srinivasan, M.A. (1998). The Role of Compliant Fingerpads in Grasping and Manipulation: Identification and Control. In: Baillieul, J., Sastry, S.S., Sussmann, H.J. (eds) Essays on Mathematical Robotics. The IMA Volumes in Mathematics and its Applications, vol 104. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1710-7_1
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1710-7_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7251-9
Online ISBN: 978-1-4612-1710-7
eBook Packages: Springer Book Archive