Robotic mapping of friction and roughness for reality-based modeling

This paper discusses the robotic acquisition and characterization of surface friction and roughness for real-world objects. Our motivation is the construction of detailed "reality-based" models for existing objects that can be used in haptic displays and other applications involving simulation. A key challenge addressed in this paper is the acquisition of these surface properties on real objects with nontrivial shape, and registration of these properties with respect to geometric models of the shape. We show how Coulomb friction may be effectively estimated in the presence of variations in surface normal. We also show how to estimate a stochastic process model of surface roughness. Finally, we demonstrate the robotic mapping of surface friction over an entire object, using the UBC Active Measurement Facility (ACME).

[1]  Donald F. Green.  Haptic simulation of naturally occuring textures and soil properties , 1998 .

[2]  Robert D. Howe,et al.  Automatic Identification of Environment Haptic Properties , 1999, Presence.

[3]  Allison M. Okamura,et al.  Improving Reality-Based Models for Vibration Feedback , 2000, Dynamic Systems and Control: Volume 2.

[4]  Carlos Canudas de Wit,et al.  A new model for control of systems with friction , 1995, IEEE Trans. Autom. Control..

[5]  Vincent Hayward,et al.  A New Compuatitional Model of Friction Applied to Haptic Rendering , 1999, ISER.

[6]  K. E. MacLean,et al.  The “Haptic Camera”: A Technique for Characterizing and Playing Back Haptic Properties of Real Environments , 1996, Dynamic Systems and Control.

[7]  Tony DeRose,et al.  Multiresolution analysis for surfaces of arbitrary topological type , 1997, TOGS.

[8]  Carlos Canudas de Wit,et al.  A survey of models, analysis tools and compensation methods for the control of machines with friction , 1994, Autom..

[9]  S. Lederman,et al.  TACTUAL PERCEPTION , 2003 .

[10]  Joris De Schutter,et al.  Peg-on-hole: a model based solution to peg and hole alignment , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[11]  R. Klatzky,et al.  Tactile roughness perception with a rigid link interposed between skin and surface , 1999, Perception & psychophysics.

[12]  Karon E. MacLean,et al.  Friction Identification for Haptic Display , 1999, Dynamic Systems and Control.

[13]  S. Gruber,et al.  Robot hands and the mechanics of manipulation , 1987, Proceedings of the IEEE.

[14]  Dinesh K. Pai,et al.  ACME, A Telerobotic Active Measurement Facility , 1999, ISER.

[15]  Robert D. Howe,et al.  Automatic identification of local geometric properties during teleoperation , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[16]  Allison M. Okamura,et al.  Haptic Surface Exploration , 1999, ISER.

[17]  Dinesh K. Pai,et al.  Haptic texturing-a stochastic approach , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[18]  S. E. Salcudean,et al.  On the Emulation of Stiff Walls and Static Friction with a Magnetically Levitated Input/Output Devic , 1997 .

[19]  Dinesh K. Pai,et al.  Active measurement of contact sounds , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[20]  Kenneth E. Barner,et al.  Stochastic models for haptic texture , 1996, Other Conferences.

[21]  M. Cutkosky,et al.  Roughness Perception of Haptically Displayed Fractal Surfaces , 2000, Dynamic Systems and Control: Volume 2.

[22]  L. Kaufman,et al.  Handbook of perception and human performance , 1986 .