Force-controlled exploration for updating virtual fixture geometry in model-mediated telemanipulation

Long Wang, Zihan Chen, Preetham Chalasani, Rashid M. Yasin, Peter Kazanzides, Russell H Taylor, Nabil Simaan

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article number021010
JournalJournal of Mechanisms and Robotics
Volume9
Issue number2
DOIs
StatePublished - Apr 1 2017

ASJC Scopus subject areas

  • Mechanical Engineering

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