This paper proposes an approach for using force-controlled exploration data to update and register an a priori virtual fixture geometry to a corresponding deformed and displaced physical environment. An approach for safe exploration implementing hybrid motion/force control is presented on the slave robot side. During exploration, the shape and the local surface normals of the environment are estimated and saved in an exploration data set. The geometric data collected during this exploration scan are used to deform and register the a priori environment model to the exploration data set. The environment registration is achieved using a deformable registration based on the coherent point drift method. The task-description of the high-level assistive telemanipulation law, called a virtual fixture (VF), is then deformed and registered in the new environment. The new model is updated and used within a model-mediated telemanipulation framework. The approach is experimentally validated using a da-Vinci research kit (dVRK) master interface, a dVRK patient side manipulator, and a Cartesian stage robot. Experiments demonstrate that the updated VF and the updated model allow the users to improve their path following performance and to shorten their completion time when the updated path following VF is applied. The approach presented has direct bearing on a multitude of surgical applications including force-controlled ablation.
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April 2017
Research-Article
Force-Controlled Exploration for Updating Virtual Fixture Geometry in Model-Mediated Telemanipulation
Long Wang,
Long Wang
Advanced Robotics and
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: long.wang@Vanderbilt.edu
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: long.wang@Vanderbilt.edu
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Zihan Chen,
Zihan Chen
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: zihan.chen@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: zihan.chen@jhu.edu
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Preetham Chalasani,
Preetham Chalasani
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pchalas1@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pchalas1@jhu.edu
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Rashid M. Yasin,
Rashid M. Yasin
Advanced Robotics and
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: rashid.m.yasin@Vanderbilt.edu
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: rashid.m.yasin@Vanderbilt.edu
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Peter Kazanzides,
Peter Kazanzides
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pkaz@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pkaz@jhu.edu
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Russell H. Taylor,
Russell H. Taylor
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: rht@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: rht@jhu.edu
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Nabil Simaan
Nabil Simaan
Advanced Robotics and
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: nabil.simaan@Vanderbilt.edu
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: nabil.simaan@Vanderbilt.edu
Search for other works by this author on:
Long Wang
Advanced Robotics and
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: long.wang@Vanderbilt.edu
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: long.wang@Vanderbilt.edu
Zihan Chen
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: zihan.chen@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: zihan.chen@jhu.edu
Preetham Chalasani
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pchalas1@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pchalas1@jhu.edu
Rashid M. Yasin
Advanced Robotics and
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: rashid.m.yasin@Vanderbilt.edu
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: rashid.m.yasin@Vanderbilt.edu
Peter Kazanzides
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pkaz@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: pkaz@jhu.edu
Russell H. Taylor
Laboratory for Computational
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: rht@jhu.edu
Sensing and Robotics,
Department of Computer Science,
Johns Hopkins University,
Baltimore, MD 21218
e-mail: rht@jhu.edu
Nabil Simaan
Advanced Robotics and
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: nabil.simaan@Vanderbilt.edu
Mechanism Applications,
Department of Mechanical Engineering,
Vanderbilt University,
Nashville, TN 37235
e-mail: nabil.simaan@Vanderbilt.edu
Manuscript received October 13, 2016; final manuscript received December 16, 2016; published online March 9, 2017. Assoc. Editor: Hai-Jun Su.
J. Mechanisms Robotics. Apr 2017, 9(2): 021010 (11 pages)
Published Online: March 9, 2017
Article history
Received:
October 13, 2016
Revised:
December 16, 2016
Citation
Wang, L., Chen, Z., Chalasani, P., Yasin, R. M., Kazanzides, P., Taylor, R. H., and Simaan, N. (March 9, 2017). "Force-Controlled Exploration for Updating Virtual Fixture Geometry in Model-Mediated Telemanipulation." ASME. J. Mechanisms Robotics. April 2017; 9(2): 021010. https://doi.org/10.1115/1.4035684
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