Tele-impedance: Towards transferring human impedance regulation skills to robots

This work presents the novel concept of Tele-Impedance as a method for controlling/teleoperating a robotic arm while performing tasks which require significant dynamics variation. As an alternative method to bilateral force-reflecting teleoperation control approach, which uses a position/velocity command combined with force feedback from the robot side, Tele-Impedance enriches the command sent to the slave robot by combining the position reference with a stiffness (or full impedance) reference estimated from the arm of the human operator. We propose a new method to estimate the stiffness of the human arm based on the agonist-antagonist muscular co activations. The concept of the Tele-Impedance is demonstrated using the KUKA light weight robotic arm as the slave manipulator in a ball reception experiment. The performance of Tele-Impedance control method is assessed by comparing the results obtained while receiving the ball, with the slave arm under i) constant low stiffness, ii) constant high stiffness or iii) under Tele-Impedance control. Performance indexes are defined and used for the comparative study of the ball reception performances under the different endpoint elastic profiles. The experimental results demonstrate the effectiveness of the task-related Tele-Impedance control method and highlight its potential use to execute tasks which require significant dynamics variation.

[1]  Rieko Osu,et al.  Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. , 2002, Journal of neurophysiology.

[2]  B. Nigg,et al.  Muscle activity reduces soft-tissue resonance at heel-strike during walking. , 2003, Journal of biomechanics.

[3]  Rieko Osu,et al.  The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.

[4]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part I—Theory , 1985 .

[5]  Paul L Gribble,et al.  Role of cocontraction in arm movement accuracy. , 2003, Journal of neurophysiology.

[6]  Patrick van der Smagt,et al.  Surface EMG in advanced hand prosthetics , 2008, Biological Cybernetics.

[7]  Antonio Bicchi,et al.  Design and Control of a Variable Stiffness Actuator for Safe and Fast Physical Human/Robot Interaction , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

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

[9]  Claudio Melchiorri,et al.  Force reflecting telemanipulators with time-delay: stability analysis and control design , 1998, IEEE Trans. Robotics Autom..

[10]  M. Kawato,et al.  Adaptation to Stable and Unstable Dynamics Achieved By Combined Impedance Control and Inverse Dynamics Model , 2003 .

[11]  Nikolaos G. Tsagarakis,et al.  A novel actuator with adjustable stiffness (AwAS) , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation , 1984, 1984 American Control Conference.

[13]  Alin Albu-Schäffer,et al.  Aus der Forschung zum Industrieprodukt: Die Entwicklung des KUKA Leichtbauroboters , 2010, Autom..

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

[15]  G. Schreiber,et al.  The Fast Research Interface for the KUKA Lightweight Robot , 2022 .

[16]  Yoshiyuki Tanaka,et al.  Analysis of mechanical impedance in human arm movements using a virtual tennis system , 2004, Biological Cybernetics.

[17]  Mitsuo Kawato,et al.  Internal models for motor control and trajectory planning , 1999, Current Opinion in Neurobiology.

[18]  Antonio Bicchi,et al.  Fast and "soft-arm" tactics [robot arm design] , 2004, IEEE Robotics & Automation Magazine.

[19]  P. Crago,et al.  Multijoint dynamics and postural stability of the human arm , 2004, Experimental Brain Research.

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

[21]  David J. Ostry,et al.  Compensation for loads during arm movements using equilibrium-point control , 2000, Experimental Brain Research.

[22]  José del R. Millán,et al.  Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.

[23]  K.J. Kyriakopoulos,et al.  EMG-based position and force control of a robot arm: Application to teleoperation and orthosis , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.