Impedance control in a wave-based teleoperator for rehabilitation motor therapies assisted by robots

This paper presents an improved wave-based bilateral teleoperation scheme for rehabilitation therapies assisted by robot manipulators. The main feature of this bilateral teleoperator is that both robot manipulators, master and slave, are controlled by impedance. Thus, a pair of motion-based adaptive impedance controllers are integrated into a wave-based configuration, in order to guarantee a stable human-robot interaction and to compensate the position drift, characteristic of the available schemes of bilateral teleoperation. Moreover, the teleoperator stability, in the presence of time delays in the communication channel, is guaranteed because the wave-variable approach is included to encode the force and velocity signals. It should be noted that the proposed structure enables the implementation of several teleoperator schemes, from passive therapies, without the intervention of a human operator on the master side, to fully active therapies where both manipulators interact with humans in a stable manner. The suitable performance of the proposed teleoperator is verified through some results obtained from the simulation of the passive and active-constrained modes, by considering typical tasks in motor-therapy rehabilitation, where an improved behavior is observed when compared to implementations of the classical wave-based approach.

[1]  Kouhei Ohnishi,et al.  A method for improving scaling bilateral control by integration of physical and control scaling ratio , 2015, 2015 IEEE International Conference on Mechatronics (ICM).

[2]  Shuxiang Guo,et al.  Development of a Novel Tele-rehabilitation System , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[3]  S.K. Agrawal,et al.  Active Leg Exoskeleton (ALEX) for Gait Rehabilitation of Motor-Impaired Patients , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[4]  Domenico Formica,et al.  Bio-inspired Interaction Control of Robotic Machines for Motor Therapy , 2007 .

[5]  N. Hogan,et al.  Response to upper-limb robotics and functional neuromuscular stimulation following stroke. , 2005, Journal of rehabilitation research and development.

[6]  Vinay Chawda,et al.  Position Synchronization in Bilateral Teleoperation Under Time-Varying Communication Delays , 2015, IEEE/ASME Transactions on Mechatronics.

[7]  D. Reinkensmeyer,et al.  Web-Based Telerehabilitation for the Upper , 2002 .

[8]  Judith E. Deutsch,et al.  A Stewart Platform-Based System for Ankle Telerehabilitation , 2001, Auton. Robots.

[9]  Kiyoshi Ohishi,et al.  Robotics-assisted rehabilitation therapy for the hands and wrists using force sensorless bilateral control with shadow and mirror mode , 2015, 2015 IEEE International Conference on Mechatronics (ICM).

[10]  Jean-Jacques E. Slotine,et al.  Towards force-reflecting teleoperation over the Internet , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[11]  Rob Dekkers,et al.  Control of Robot Manipulators in Joint Space , 2005 .

[12]  Hanlei Wang,et al.  Adaptive inverse dynamics control of robots with uncertain kinematics and dynamics , 2009, Autom..

[13]  Blake Hannaford,et al.  Bilateral teleoperation with time delay using modified wave variables , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  J. Tang,et al.  Virtual environment for robotic tele-rehabilitation , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[15]  Michelle J. Johnson,et al.  Collaborative tele-rehabilitation and robot-mediated therapy for stroke rehabilitation at home or clinic , 2008, Intell. Serv. Robotics.

[16]  P. Olver Nonlinear Systems , 2013 .

[17]  W. Rymer,et al.  Robotic Devices for Movement Therapy After Stroke: Current Status and Challenges to Clinical Acceptance , 2002, Topics in stroke rehabilitation.

[18]  Bram Vanderborght,et al.  An exoskeleton for gait rehabilitation: Prototype design and control principle , 2008, 2008 IEEE International Conference on Robotics and Automation.

[19]  Jean-Jacques E. Slotine,et al.  Contraction analysis of time-delayed communications and group cooperation , 2006, IEEE Transactions on Automatic Control.

[20]  Haruhisa Kawasaki,et al.  Telerehabilitation for Fingers and Wrist Using a Hand Rehabilitation Support System and Robot Hand , 2009, SyRoCo.

[21]  Grigore C. Burdea,et al.  A virtual-reality-based telerehabilitation system with force feedback , 2000, IEEE Transactions on Information Technology in Biomedicine.

[22]  R. Riener,et al.  ARMin - Exoskeleton for Arm Therapy in Stroke Patients , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[23]  Henning Schmidt,et al.  Robot Assisted Neurological Rehabilitation at Home: Motivational Aspects and Concepts for Tele-Rehabilitation , 2009 .

[24]  S. Hesse,et al.  A mechanized gait trainer for restoration of gait. , 2000, Journal of rehabilitation research and development.

[25]  Hermano I Krebs,et al.  Telerehabilitation robotics: bright lights, big future? , 2006, Journal of rehabilitation research and development.

[26]  Fernando Reyes-Cortés,et al.  A Lyapunov-based design tool of impedance controllers for robot manipulators , 2012, Kybernetika.

[27]  H. Krebs,et al.  Effects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review , 2008, Neurorehabilitation and neural repair.

[28]  Shuxiang Guo,et al.  Design of a master-slave rehabilitation system using self-tuning fuzzy PI controller , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[29]  Daniel W. Repperger,et al.  The wave variable method for multiple degree of freedom teleoperation systems with time delay , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[30]  D.J. Reinkensmeyer,et al.  Web-based telerehabilitation for the upper extremity after stroke , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[31]  Dongjun Lee,et al.  Experimental Comparison Study of Control Architectures for Bilateral Teleoperators , 2009, IEEE Transactions on Robotics.

[32]  Toru Namerikawa,et al.  Delay-independent stabilization for teleoperation with time varying delay , 2009, 2009 American Control Conference.

[33]  Mahdi Tavakoli,et al.  Passivity and Absolute Stability Analysesof Trilateral Haptic Collaborative Systems , 2015, J. Intell. Robotic Syst..

[34]  Antonio Frisoli,et al.  Energy recovery in time-varying delay teleoperated system using wave-variables , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[35]  N. Hogan,et al.  A novel approach to stroke rehabilitation , 2000, Neurology.

[36]  Mark W. Spong,et al.  PASSIVATION OF FORCE REFLECTING BILATERAL TELEOPERATORS WITH TIME VARYING DELAY , 2002 .

[37]  M.J. Johnson,et al.  Collaborative Tele-rehabilitation: A Strategy for Increasing Engagement , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[38]  R. Kelly,et al.  An adaptive impedance/force controller for robot manipulators , 1991 .

[39]  J.E. Deutsch,et al.  Technical and Patient Performance Using a Virtual Reality-Integrated Telerehabilitation System: Preliminary Finding , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[40]  H. van der Kooij,et al.  Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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

[42]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[43]  N. Hogan,et al.  Robot-aided neurorehabilitation. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[44]  Jean-Jacques E. Slotine,et al.  Telemanipulation with Time Delays , 2004, Int. J. Robotics Res..

[45]  Blake Hannaford,et al.  A design framework for teleoperators with kinesthetic feedback , 1989, IEEE Trans. Robotics Autom..

[46]  Hyung-Soon Park,et al.  A Portable Telerehabilitation System for Remote Evaluations of Impaired Elbows in Neurological Disorders , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[47]  Mitsuo Kawato,et al.  Human arm stiffness and equilibrium-point trajectory during multi-joint movement , 1997, Biological Cybernetics.

[48]  Mark W. Spong,et al.  Bilateral control of teleoperators with time delay , 1989 .

[49]  Carlos Canudas de Wit,et al.  Theory of Robot Control , 1996 .

[50]  Antonio Frisoli,et al.  Bilateral teleoperation under time-varying delay using wave variables , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[51]  Rajnikant V. Patel,et al.  Networked teleoperation with non-passive environment: Application to tele-rehabilitation , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[52]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[53]  H. Gomi,et al.  Task-Dependent Viscoelasticity of Human Multijoint Arm and Its Spatial Characteristics for Interaction with Environments , 1998, The Journal of Neuroscience.

[54]  Jungwon Yoon,et al.  A 6-DOF Gait Rehabilitation Robot With Upper and Lower Limb Connections That Allows Walking Velocity Updates on Various Terrains , 2010, IEEE/ASME Transactions on Mechatronics.