Multi-DoF Time Domain Passivity Approach Based Drift Compensation for Telemanipulation

When, in addition to passivity, position synchronization is also desired in bilateral teleoperation, Time Domain Passivity Approach (TDPA) alone might not be able to fulfill the desired objective. This is due to an undesired effect caused by admittance type passivity controllers, namely position drift. Previous works focused on developing TDPA-based drift compensation methods to solve this issue. It was shown that, in addition to reducing drift, one of the proposed methods was able to keep the force signals within their normal range, guaranteeing the safety of the task. However, no multi-DoF treatment of those approaches has been addressed. In that scope, this paper focuses on providing an extension of previous TDPA-based approaches to multi-DoF Cartesian-space teleoperation. An analysis of the convergence properties of the presented method is also provided. In addition, its applicability to multi-DoF devices is shown through hardware experiments and numerical simulation with round-trip time delays up to 700 ms.

[1]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[2]  Christian Ott,et al.  Subspace-oriented energy distribution for the Time Domain Passivity Approach , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Jean-Jacques E. Slotine,et al.  Stable Adaptive Teleoperation , 1990, 1990 American Control Conference.

[4]  Marcia Kilchenman O'Malley,et al.  Compensating position drift in Time Domain Passivity Approach based teleoperation , 2014, 2014 IEEE Haptics Symposium (HAPTICS).

[5]  Blake Hannaford,et al.  Time domain passivity control of haptic interfaces , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[6]  Jordi Artigas,et al.  A passive bilateral control scheme for a teleoperator with time-varying communication delay , 2010 .

[7]  Mark W. Spong,et al.  Bilateral control of teleoperators with time delay , 1988, Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics.

[8]  Daniel Leidner,et al.  TOWARD SCALABLE INTUITIVE TELEOPERATION OF ROBOTS FOR SPACE DEPLOYMENT WITH THE METERON SUPVIS JUSTIN EXPERIMENT , 2017 .

[9]  Jee-Hwan Ryu,et al.  Time Domain Passivity Control for Position-Position Teleoperation Architectures , 2010, PRESENCE: Teleoperators and Virtual Environments.

[10]  Jee-Hwan Ryu,et al.  Performance comparison of Wave Variable Transformation and Time Domain Passivity Approaches for time-delayed teleoperation: Preliminary results , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

[12]  Gerd Hirzinger,et al.  Network representation and passivity of delayed teleoperation systems , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Alin Albu-Schäffer,et al.  KONTUR-2: Force-feedback teleoperation from the international space station , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[14]  Alexander Dietrich,et al.  Prioritized multi-task compliance control of redundant manipulators , 2015, Autom..

[15]  Richard M. Murray,et al.  A Mathematical Introduction to Robotic Manipulation , 1994 .

[16]  R. Murray,et al.  Proportional Derivative (PD) Control on the Euclidean Group , 1995 .

[17]  Konstantin Kondak,et al.  Smoother Position-Drift Compensation for Time Domain Passivity Approach Based Teleoperation , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[18]  Daniel Leidner,et al.  Preliminary Insights From the METERON SUPVIS Justin Space-Robotics Experiment , 2018, IEEE Robotics and Automation Letters.

[19]  Konstantin Kondak,et al.  Development of SAM: cable-Suspended Aerial Manipulator* , 2019, 2019 International Conference on Robotics and Automation (ICRA).

[20]  Jee-Hwan Ryu,et al.  Position drift compensation in time domain passivity based teleoperation , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.