Customization, control, and characterization of a commercial haptic device for high-fidelity rendering of weak forces

BACKGROUND The emergence of commercial haptic devices offers new research opportunities to enhance our understanding of the human sensory-motor system. Yet, commercial device capabilities have limitations which need to be addressed. This paper describes the customization of a commercial force feedback device for displaying forces with a precision that exceeds the human force perception threshold. NEW METHOD The device was outfitted with a multi-axis force sensor and closed-loop controlled to improve its transparency. Additionally, two force sensing resistors were attached to the device to measure grip force. Force errors were modeled in the frequency- and time-domain to identify contributions from the mass, viscous friction, and Coulomb friction during open- and closed-loop control. The effect of user interaction on system stability was assessed in the context of a user study which aimed to measure force perceptual thresholds. RESULTS Findings based on 15 participants demonstrate that the system maintains stability when rendering forces ranging from 0-0.20 N, with an average maximum absolute force error of 0.041 ± 0.013 N. Modeling the force errors revealed that Coulomb friction and inertia were the main contributors to force distortions during respectively slow and fast motions. COMPARISON WITH EXISTING METHODS Existing commercial force feedback devices cannot render forces with the required precision for certain testing scenarios. Building on existing robotics work, this paper shows how a device can be customized to make it reliable for studying the perception of weak forces. CONCLUSIONS The customized and closed-loop controlled device is suitable for measuring force perceptual thresholds.

[1]  Blake Hannaford,et al.  A design framework for teleoperators with kinesthetic feedback , 1989, IEEE Trans. Robotics Autom..

[2]  Dale A. Lawrence Stability and transparency in bilateral teleoperation , 1993, IEEE Trans. Robotics Autom..

[3]  Rieko Osu,et al.  The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.

[4]  Gabriel Baud-Bovy,et al.  Hand-Held Object Force Direction Identification Thresholds at Rest and during Movement , 2010, EuroHaptics.

[5]  Lucy Y. Pao,et al.  Friction modeling and compensation for haptic interfaces , 2005, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics Conference.

[6]  Vincent Hayward,et al.  Force can overcome object geometry in the perception of shape through active touch , 2001, Nature.

[7]  M. Srinivasan,et al.  Tactual discrimination of softness. , 1995, Journal of neurophysiology.

[8]  Neville Hogan,et al.  Controlling impedance at the man/machine interface , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[9]  Blake Hannaford,et al.  Stable haptic interaction with virtual environments , 1999, IEEE Trans. Robotics Autom..

[10]  Charles Baur,et al.  The Delta Haptic Device , 2001 .

[11]  J. Edward Colgate,et al.  Factors affecting the Z-Width of a haptic display , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[12]  H E Ross,et al.  Jiggling a lifted weight does aid discrimination. , 1985, The American journal of psychology.

[13]  Mehrdad Hosseini Zadeh,et al.  Advances in Haptics , 2010 .

[14]  Paul G. Griffiths,et al.  Design and Analysis of Haptic Interface and Teleoperator Feedback Systems. , 2008 .

[15]  G. Wood Data smoothing and differentiation procedures in biomechanics. , 1982, Exercise and sport sciences reviews.

[16]  J. Randall Flanagan,et al.  Coding and use of tactile signals from the fingertips in object manipulation tasks , 2009, Nature Reviews Neuroscience.

[17]  Katherine J. Kuchenbecker,et al.  Characterizing and controlling the high-frequency dynamics of haptic interfaces , 2006 .

[18]  Simon Richir,et al.  Influence of control/display ratio on the perception of mass of manipulated objects in virtual environments , 2005, IEEE Proceedings. VR 2005. Virtual Reality, 2005..

[19]  M. Ernst,et al.  Integration of force and position cues for shape perception through active touch , 2006, Brain Research.

[20]  S. J. Bolanowski,et al.  Some characteristics of tactile channels , 2004, Behavioural Brain Research.

[21]  R. E. Ellis,et al.  Design and evaluation of a high-performance haptic interface , 1996, Robotica.

[22]  Thorsten A. Kern,et al.  Engineering Haptic Devices , 2014, Springer Series on Touch and Haptic Systems.

[23]  R. Johansson,et al.  Encoding of Direction of Fingertip Forces by Human Tactile Afferents , 2001, The Journal of Neuroscience.

[24]  F A Mussa-Ivaldi,et al.  Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[25]  村山 淳,et al.  World Haptics 2005 , 2005 .

[26]  M.K. O'Malley,et al.  Transparency of a Phantom premium haptic interface for active and passive human interaction , 2005, Proceedings of the 2005, American Control Conference, 2005..

[27]  Mandayam A. Srinivasan,et al.  Manual resolution of viscosity and mass , 1995 .

[28]  Gabriel Baud-Bovy,et al.  Static Force Rendering Performance of Two Commercial Haptic Systems , 2014, EuroHaptics.

[29]  Blake Hannaford,et al.  Experimental and simulation studies of hard contact in force reflecting teleoperation , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[30]  M. Ernst,et al.  Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.

[31]  Thomas Hulin,et al.  Stability Boundary and Transparency for Haptic Rendering , 2010 .

[32]  Allison M. Okamura,et al.  Effects of position quantization and sampling rate on virtual-wall passivity , 2005, IEEE Transactions on Robotics.

[33]  R. Brent Gillespie,et al.  A Fundamental Tradeoff between Performance and Sensitivity within Haptic Rendering , 2007, Robotics: Science and Systems.

[34]  J R Flanagan,et al.  The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads , 1997, The Journal of Neuroscience.

[35]  Satoru Kawai,et al.  Computer Graphic and PHANToM Haptic Displays: Powerful Tools to Understand How Humans Perceive Heaviness , 2012 .

[36]  L. Jones,et al.  Perception of force and weight: theory and research. , 1986, Psychological bulletin.

[37]  R. Riener,et al.  Series Viscoelastic Actuators Can Match Human Force Perception , 2011, IEEE/ASME Transactions on Mechatronics.

[38]  L. Alonso Sanchez,et al.  The impact of interaction model on stability and transparency in bilateral teleoperation for medical applications , 2012, 2012 IEEE International Conference on Robotics and Automation.

[39]  R. Johansson,et al.  Responses in glabrous skin mechanoreceptors during precision grip in humans , 2004, Experimental Brain Research.

[40]  Robert L. Williams Control of Kinesthetic Haptic Interfaces in VR Applications , 1997 .

[41]  Neville Hogan,et al.  An analysis of contact instability in terms of passive physical equivalents , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[42]  K. Hashtrudi-Zaad,et al.  Dynamic parameter identification and analysis of a PHANToM haptic device , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[43]  Thomas Schauss,et al.  Parameter-space transparency analysis of teleoperation systems , 2012, 2012 IEEE Haptics Symposium (HAPTICS).

[44]  Allison M. Okamura,et al.  Perception of Springs With Visual and Proprioceptive Motion Cues: Implications for Prosthetics , 2013, IEEE Transactions on Human-Machine Systems.

[45]  J R Flanagan,et al.  Effects of surface texture and grip force on the discrimination of hand-held loads , 1997, Perception & psychophysics.

[46]  Kevin Cleary,et al.  Closed-Loop Force Control for Haptic Simulation of Virtual Environments , 2000 .

[47]  B. O'Shaughnessy The sense of touch , 1989 .

[48]  Gabriel Baud-Bovy,et al.  The haptic reproduction of orientations in three-dimensional space , 2006, Experimental Brain Research.

[49]  John Kenneth Salisbury,et al.  Effects of haptic device attributes on vibration detection thresholds , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[50]  Alessandro Panarese,et al.  A modified low-cost haptic interface as a tool for complex tactile stimulation. , 2011, Medical engineering & physics.