Modeling of physical human–robot interaction

Enhancement of human performance using an intelligent assist device is becoming more common. In order to achieve effective augmentation of human capacity, cooperation between human and robot must be safe and very intuitive. Ensuring such collaboration remains a challenge, especially when admittance control is used. This paper addresses the issues of transparency and human perception coming from vibration in admittance control schemes. Simulation results obtained with our suggested improved model using an admittance controller are presented, then four models using transfer functions are discussed in detail and evaluated as a means of simulating physical human–robot interaction using admittance control. The simulation and experimental results are then compared in order to assess the validity and limitations of the proposed models in the case of a four-degree-of-freedom intelligent assist device designed for large payload.

[1]  Piet Lammertse,et al.  HapticMaster - a generic force controlled robot for human interaction , 2003, Ind. Robot.

[2]  Clément Gosselin,et al.  Computed-Torque Control of a Four-Degree-of-Freedom Admittance Controlled Intelligent Assist Device , 2012, ISER.

[3]  Vincent Hayward,et al.  Do it yourself haptics: part I , 2007, IEEE Robotics & Automation Magazine.

[4]  W Qassem,et al.  Human body model response to mechanical impulse. , 1997, Medical engineering & physics.

[5]  Nikos A. Aspragathos,et al.  Reinforcement learning of variable admittance control for human-robot co-manipulation , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[6]  J. Edward Colgate,et al.  Intelligent assist devices in industrial applications: a review , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[7]  Neville Hogan,et al.  An analysis of contact instability in terms of passive physical equivalents , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[8]  Clément Gosselin,et al.  Cartesian Control of a Cable-Driven Haptic Mechanism , 2010 .

[9]  Clément Gosselin,et al.  Safe, Stable and Intuitive Control for Physical Human-Robot Interaction , 2009, 2009 IEEE International Conference on Robotics and Automation.

[10]  Kevin Cleary,et al.  Closed-Loop Force Control for Haptic Simulation of Virtual Environments , 2000 .

[11]  Dragoljub Surdilovic.  Robust control design of impedance control for industrial robots , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Clément Gosselin,et al.  A Friendly Beast of Burden: A Human-Assistive Robot for Handling Large Payloads , 2013, IEEE Robotics & Automation Magazine.

[13]  Lynette A. Jones,et al.  Tactile Displays: Guidance for Their Design and Application , 2008, Hum. Factors.

[14]  Yoshihiko Nakamura,et al.  A Hybrid System Framework for Unified Impedance and Admittance Control , 2015, J. Intell. Robotic Syst..

[15]  V. Squeri,et al.  A Modular Mechatronic Device for Arm Stiffness Estimation in Human–Robot Interaction , 2015, IEEE/ASME Transactions on Mechatronics.

[16]  Elizabeth T Wilson,et al.  The influence of visual perturbations on the neural control of limb stiffness. , 2009, Journal of neurophysiology.

[17]  Toru Tsumugiwa,et al.  Variable impedance control based on estimation of human arm stiffness for human-robot cooperative calligraphic task , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[18]  Suwoong Lee,et al.  A Safety Measure for Control Mode Switching of Skill-Assist for Effective Automotive Manufacturing , 2010, IEEE Transactions on Automation Science and Engineering.

[19]  Panagiotis K. Artemiadis,et al.  Human arm impedance: Characterization and modeling in 3D space , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Clément Gosselin,et al.  Variable admittance control of a four-degree-of-freedom intelligent assist device , 2012, 2012 IEEE International Conference on Robotics and Automation.

[21]  Toru Tsumugiwa,et al.  Stability analysis for impedance control of robot for human-robot cooperative task system , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[22]  Makoto Kaneko,et al.  Frequency response dependence to vibration sensitivity by pressing , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[23]  Seul Jung,et al.  Stability and convergence analysis of robust adaptive force tracking impedance control of robot manipulators , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[24]  Kazuhiro Kosuge,et al.  Control of a robot handling an object in cooperation with a human , 1997, Proceedings 6th IEEE International Workshop on Robot and Human Communication. RO-MAN'97 SENDAI.

[25]  Karon E. MacLean,et al.  Foundations of Transparency in Tactile Information Design , 2008, IEEE Transactions on Haptics.

[26]  Toru Tsumugiwa,et al.  Variable impedance control with regard to working process for man-machine cooperation-work system , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[27]  An-Chyau Huang,et al.  Adaptive Impedance Control of Robot Manipulators based on Function Approximation Technique , 2004, Robotica.

[28]  Clément Gosselin,et al.  Investigation of human-robot interaction stability using Lyapunov theory , 2008, 2008 IEEE International Conference on Robotics and Automation.

[29]  Iven M. Y. Mareels,et al.  Stability and motor adaptation in human arm movements , 2005, Biological Cybernetics.

[30]  J. Edward Colgate,et al.  Haptic Display of Constrained Dynamic Systems via Admittance Displays , 2007, IEEE Transactions on Robotics.

[31]  R. Johansson,et al.  Properties of cutaneous mechanoreceptors in the human hand related to touch sensation. , 1984, Human neurobiology.

[32]  Angel Rubio,et al.  Stability analysis of a 1 DOF haptic interface using the Routh-Hurwitz criterion , 2004, IEEE Transactions on Control Systems Technology.

[33]  J Dargahi,et al.  Human tactile perception as a standard for artificial tactile sensing—a review , 2004, The international journal of medical robotics + computer assisted surgery : MRCAS.

[34]  Ganwen Zeng,et al.  An overview of robot force control , 1997, Robotica.

[35]  Clément Gosselin,et al.  A time-domain vibration observer and controller for physical human-robot interaction , 2016 .

[36]  Yon Visell,et al.  Tactile sensory substitution: Models for enaction in HCI , 2009, Interact. Comput..

[37]  Hikaru Inooka,et al.  Variable impedance control of a robot for cooperation with a human , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[38]  R. W. Daniel,et al.  Fundamental Limits of Performance for Force Reflecting Teleoperation , 1998, Int. J. Robotics Res..

[39]  R. Lundström.  Local vibrations--mechanical impedance of the human hand's glabrous skin. , 1984, Journal of biomechanics.

[40]  Keng Peng Tee,et al.  A model of force and impedance in human arm movements , 2004, Biological Cybernetics.

[41]  John M. Hollerbach,et al.  Dynamic Stability Issues in Force Control of Manipulators , 1987, 1987 American Control Conference.

[42]  Simon Foucault,et al.  A Cable-Suspended Intelligent Crane Assist Device for the Intuitive Manipulation of Large Payloads , 2016, IEEE/ASME Transactions on Mechatronics.