Environment Perception in the Presence of Kinesthetic or Tactile Guidance Virtual Fixtures

During multi-lateral collaborative teleoperation, where multiple human or autonomous agents share control of a teleoperation system, it is important to be able to convey individual user intent. One option for conveying the actions and intent of users or autonomous agents is to provide force guidance from one user to another. Under this paradigm, forces would be transmitted from one user to another in order to guide motions and actions. However, the use of force guidance to convey intent can mask environmental force feedback. In this paper we explore the possibility of using tactile feedback, in particular skin deformation feedback, skin deformation feedback to convey collaborative intent while preserving environmental force perception. An experiment was performed to test the ability of participants to use force guidance and skin deformation guidance to follow a path while interacting with a virtual environment. In addition, we tested the ability of participants to discriminate virtual environment stiffness when receiving either force guidance or skin deformation guidance. We found that skin deformation guidance resulted in a reduction of path-following accuracy, but increased the ability to discriminate environment stiffness when compared with force feedback guidance. Categories and Subject Descriptors H.1.2 [Models and Principles]: User/Machine Systems-Human information processing; H.5.2 [Information Interfaces and Presentation]: User Interfaces-Haptic I/O

[1]  Geoffrey P. Bingham,et al.  Passive tracking versus active control in motor learning , 2011 .

[2]  M. Goldfarb,et al.  The effect of virtual surface stiffness on the haptic perception of detail , 2004, IEEE/ASME Transactions on Mechatronics.

[3]  S. Glantz Primer of applied regression and analysis of variance / Stanton A. Glantz, Bryan K. Slinker , 1990 .

[4]  Scott E. Maxwell,et al.  Designing Experiments and Analyzing Data: A Model Comparison Perspective , 1990 .

[5]  M. López,et al.  Delta robot: Inverse, direct, and intermediate Jacobians , 2006 .

[6]  S. Glantz,et al.  Primer of Applied Regression & Analysis of Variance , 1990 .

[7]  François Conti,et al.  CHAI: An Open-Source Library for the Rapid Development of Haptic Scenes , 2005 .

[8]  M A Srinivasan,et al.  Manual discrimination of compliance using active pinch grasp: The roles of force and work cues , 1995, Perception & psychophysics.

[9]  F A Wichmann,et al.  Ning for Helpful Comments and Suggestions. This Paper Benefited Con- Siderably from Conscientious Peer Review, and We Thank Our Reviewers the Psychometric Function: I. Fitting, Sampling, and Goodness of Fit , 2001 .

[10]  Ferdinando A. Mussa-Ivaldi,et al.  Perception and Action in Teleoperated Needle Insertion , 2011, IEEE Transactions on Haptics.

[11]  William R. Provancher,et al.  Perception of Direction for Applied Tangential Skin Displacement: Effects of Speed, Displacement, and Repetition , 2010, IEEE Transactions on Haptics.

[12]  Kostas E. Bekris,et al.  Visual and force-feedback guidance for robot-assisted interventions in the beating heart with real-time MRI , 2012, 2012 IEEE International Conference on Robotics and Automation.

[13]  Allison M. Okamura,et al.  Haptic Virtual Fixtures for Robot-Assisted Manipulation , 2005, ISRR.

[14]  Stephan P. Swinnen,et al.  Active versus Passive Training of a Complex Bimanual Task: Is Prescriptive Proprioceptive Information Sufficient for Inducing Motor Learning? , 2012, PloS one.

[15]  Shahram Payandeh,et al.  On application of virtual fixtures as an aid for telemanipulation and training , 2002, Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002.

[16]  William R. Provancher,et al.  Back-to-back skin stretch feedback for communicating five degree-of-freedom direction cues , 2013, 2013 World Haptics Conference (WHC).

[17]  Allison M. Okamura,et al.  Sensory substitution via cutaneous skin stretch feedback , 2013, 2013 IEEE International Conference on Robotics and Automation.

[18]  G. Gescheider Psychophysics: The Fundamentals , 1997 .

[19]  I. Hunter,et al.  A perceptual analysis of stiffness , 2004, Experimental Brain Research.

[20]  Charles A. Stewart,et al.  Improved Tactile Shear Feedback: Tactor Design and an Aperture-Based Restraint , 2011, IEEE Transactions on Haptics.

[21]  Allison M. Okamura,et al.  Sensory substitution using 3-degree-of-freedom tangential and normal skin deformation feedback , 2014, 2014 IEEE Haptics Symposium (HAPTICS).