Experimental evaluation of force control for virtual-fixture-assisted teleoperation for on-orbit manipulation of satellite thermal blanket insulation

The ability to refuel satellites on-orbit using teleoperated robots could extend the life of satellite missions, potentially saving time and resources for both industry and space agencies. One critical step in the refueling process is to gain access to the satellite's fueling port by cutting through a seam of tape that adheres two sections of multi-layer insulation (MLI) covering the satellite body. The deformable, delicate, specular nature of the metalized tape used to adhere sections of MLI to one another makes cutting the tape seams a difficult task to perform remotely, a difficulty that is compounded by unavoidable multi-second communications delays. Virtual-fixture-assisted teleoperation can help mitigate some of these issues by constraining the motion of the cutting blade based on a priori knowledge of the task. Adding force control may further assist teleoperators by automatically setting a desired normal cutting force. This paper presents the results of a 20-participant user study for a representative satellite tape-cutting task, showing that force control based on a virtual fixture mapped to the MLI blanket plane can decrease both tape bunching and operator workload.

[1]  Peter Kazanzides,et al.  Strategies and models for cutting satellite insulation in telerobotic servicing missions , 2014, 2014 IEEE Haptics Symposium (HAPTICS).

[2]  David C. Hoaglin,et al.  Some Implementations of the Boxplot , 1989 .

[3]  Sandra G. Hart,et al.  Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .

[4]  John J. Craig,et al.  Hybrid position/force control of manipulators , 1981 .

[5]  Nicholas L. Johnson,et al.  The new NASA orbital debris mitigation procedural requirements and standards , 2010 .

[6]  Peter Kazanzides,et al.  Model-based telerobotic control with virtual fixtures for satellite servicing tasks , 2013, 2013 IEEE International Conference on Robotics and Automation.

[7]  Robin Wolff,et al.  Comparing three interaction methods for manipulating thin deformable virtual objects , 2012, 2012 IEEE Virtual Reality Workshops (VRW).

[8]  Mark W. Spong,et al.  Bilateral teleoperation: An historical survey , 2006, Autom..

[9]  Peter Kazanzides,et al.  An open-source research kit for the da Vinci® Surgical System , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[10]  Lynn Jenner.  NASA Tests New Technologies for Robotic Refueling , 2014 .

[11]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Russell H. Taylor,et al.  Constrained control for surgical assistant robots , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[13]  Thomas B. Sheridan,et al.  Space teleoperation through time delay: review and prognosis , 1993, IEEE Trans. Robotics Autom..

[14]  Peter Kazanzides,et al.  Augmented reality environment with virtual fixtures for robotic telemanipulation in space , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.