A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction

As robotic devices are applied to problems beyond traditional manufacturing and industrial settings, we find that interaction between robots and humans, especially physical interaction, has become a fast developing field. Consider the application of robotics in healthcare, where we find telerobotic devices in the operating room facilitating dexterous surgical procedures, exoskeletons in the rehabilitation domain as walking aids and upper-limb movement assist devices, and even robotic limbs that are physically integrated with amputees who seek to restore their independence and mobility. In each of these scenarios, the physical coupling between human and robot, often termed physical human robot interaction (pHRI), facilitates new human performance capabilities and creates an opportunity to explore the sharing of task execution and control between humans and robots. In this review, we provide a unifying view of human and robot sharing task execution in scenarios where collaboration and cooperation between the two entities are necessary, and where the physical coupling of human and robot is a vital aspect. We define three key themes that emerge in these shared control scenarios, namely, intent detection, arbitration, and feedback. First, we explore methods for how the coupled pHRI system can detect what the human is trying to do, and how the physical coupling itself can be leveraged to detect intent. Second, once the human intent is known, we explore techniques for sharing and modulating control of the coupled system between robot and human operator. Finally, we survey methods for informing the human operator of the state of the coupled system, or the characteristics of the environment with which the pHRI system is interacting. At the conclusion of the survey, we present two case studies that exemplify shared control in pHRI systems, and specifically highlight the approaches used for the three key themes of intent detection, arbitration, and feedback for applications of upper limb robotic rehabilitation and haptic feedback from a robotic prosthesis for the upper limb. [DOI: 10.1115/1.4039145]

[1]  Yoshiaki Hayashi,et al.  An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[2]  Marcia K. O'Malley,et al.  SIMULATED BILATERAL TELEOPERATION OF ROBONAUT , 2003 .

[3]  Keehoon Kim,et al.  Haptic Feedback Enhances Grip Force Control of sEMG-Controlled Prosthetic Hands in Targeted Reinnervation Amputees , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  Shuzhi Sam Ge,et al.  Neural-network-based human intention estimation for physical human-robot interaction , 2011, 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[5]  Ernst L. Leiss,et al.  Kinesthetic and visual force display for telerobotics , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[6]  Pradip Sheth,et al.  Shared Navigational Control and User Intent Detection in an Intelligent Walker , 2005, AAAI Fall Symposium: Caring Machines.

[7]  A. Timmermans,et al.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design , 2009, Journal of NeuroEngineering and Rehabilitation.

[8]  Hong Kai Yap,et al.  Design of a wearable FMG sensing system for user intent detection during hand rehabilitation with a soft robotic glove , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[9]  Michael A. Goodrich,et al.  Human-Robot Interaction: A Survey , 2008, Found. Trends Hum. Comput. Interact..

[10]  P Praamstra,et al.  Maintaining grip: anticipatory and reactive EEG responses to load perturbations. , 2008, Journal of neurophysiology.

[11]  Carlo Menon,et al.  Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study , 2016, Front. Bioeng. Biotechnol..

[12]  Marcia Kilchenman O'Malley,et al.  Understanding the role of haptic feedback in a teleoperated/prosthetic grasp and lift task , 2013, 2013 World Haptics Conference (WHC).

[13]  Christian Antfolk,et al.  Sensory feedback in upper limb prosthetics , 2013, Expert review of medical devices.

[14]  Jana Kosecka,et al.  Real-Time Classification of Hand Motions Using Ultrasound Imaging of Forearm Muscles , 2016, IEEE Transactions on Biomedical Engineering.

[15]  Linda R. Elliott,et al.  A Meta-Analysis of Vibrotactile and Visual Information Displays for Improving Task Performance , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  R.N. Scott,et al.  A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.

[17]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[18]  Marcia Kilchenman O'Malley,et al.  The Task-Dependent Efficacy of Shared-Control Haptic Guidance Paradigms , 2012, IEEE Transactions on Haptics.

[19]  Marcia Kilchenman O'Malley,et al.  Minimal Assist-as-Needed Controller for Upper Limb Robotic Rehabilitation , 2016, IEEE Transactions on Robotics.

[20]  Martin Buss,et al.  An HMM approach to realistic haptic human-robot interaction , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[21]  Nikolaos G. Tsagarakis,et al.  Exploring Teleimpedance and Tactile Feedback for Intuitive Control of the Pisa/IIT SoftHand , 2014, IEEE Transactions on Haptics.

[22]  Grigore C. Burdea,et al.  Human interface using the Rutgers Master II force feedback interface , 1996, Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium.

[23]  D.J. Reinkensmeyer,et al.  Robotic movement training as an optimization problem: designing a controller that assists only as needed , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[24]  Elaine Biddiss,et al.  Consumer design priorities for upper limb prosthetics , 2007, Disability and rehabilitation. Assistive technology.

[25]  Jessie Y. C. Chen,et al.  A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction , 2011, Hum. Factors.

[26]  Michael W. Haas,et al.  Haptic specification of environmental events: implications for the design of adaptive, virtual interfaces , 1996, Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium.

[27]  Amy J Bastian,et al.  Multidigit Movement Synergies of the Human Hand in an Unconstrained Haptic Exploration Task , 2008, The Journal of Neuroscience.

[28]  G. Lundborg,et al.  Sensory substitution in prosthetics. , 2001, Hand clinics.

[29]  Sheng Quan Xie,et al.  Exoskeleton robots for upper-limb rehabilitation: state of the art and future prospects. , 2012, Medical engineering & physics.

[30]  Marcia Kilchenman O'Malley,et al.  Tactile Feedback of Object Slip Facilitates Virtual Object Manipulation , 2015, IEEE Transactions on Haptics.

[31]  Kengo Ohnishi,et al.  Neural machine interfaces for controlling multifunctional powered upper-limb prostheses , 2007, Expert review of medical devices.

[32]  Paul Evrard,et al.  Homotopy switching model for dyad haptic interaction in physical collaborative tasks , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[33]  Hendrik Van Brussel,et al.  Human-inspired robot assistant for fast point-to-point movements , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[34]  C. Wall,et al.  The effect of vibrotactile feedback on postural sway during locomotor activities , 2013, Journal of NeuroEngineering and Rehabilitation.

[35]  A. Handley,et al.  Movement disorders after stroke. , 2008, Age and ageing.

[36]  Joachim Hermsdörfer,et al.  Selective deficits of grip force control during object manipulation in patients with reduced sensibility of the grasping digits , 2003, Neuroscience Research.

[37]  Erik J. Scheme,et al.  A characterization of the effect of limb position on EMG features to guide the development of effective prosthetic control schemes , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[38]  G. Vanacker,et al.  Adaptive Shared Control of a Brain-Actuated Simulated Wheelchair , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[39]  Nitish V. Thakor,et al.  Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[40]  K H Sienko,et al.  Effects of multi-directional vibrotactile feedback on vestibular-deficient postural performance during continuous multi-directional support surface perturbations. , 2009, Journal of vestibular research : equilibrium & orientation.

[41]  Jerry E. Pratt,et al.  The RoboKnee: an exoskeleton for enhancing strength and endurance during walking , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[42]  Sharon L. Oviatt,et al.  When do we interact multimodally?: cognitive load and multimodal communication patterns , 2004, ICMI '04.

[43]  Allison M. Okamura,et al.  Compliance Perception Using Natural and Artificial Motion Cues , 2014, Multisensory Softness.

[44]  Peter Wolf,et al.  Real‐time rowing simulator with multimodal feedback , 2008 .

[45]  Adrian D. C. Chan,et al.  A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses , 2005, IEEE Transactions on Biomedical Engineering.

[46]  Matteo Bianchi,et al.  Assessment of Myoelectric Controller Performance and Kinematic Behavior of a Novel Soft Synergy-Inspired Robotic Hand for Prosthetic Applications , 2016, Front. Neurorobot..

[47]  Allison M. Okamura,et al.  HAPI Bands: A haptic augmented posture interface , 2012, 2012 IEEE Haptics Symposium (HAPTICS).

[48]  Kevin B. Englehart,et al.  A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.

[49]  Tetsuo Tomiyama,et al.  Human-Intent Detection and Physically Interactive Control of a Robot Without Force Sensors , 2010, IEEE Transactions on Robotics.

[50]  Haruhisa Kawasaki,et al.  Transfer method of Force Information using Five-Fingered Haptic Interface Robot , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).

[51]  Redwan Alqasemi,et al.  Telemanipulation Assistance Based on Motion Intention Recognition , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[52]  Fumio Miyazaki,et al.  A simple control design for human-robot coordination based on the knowledge of dynamical role division , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[53]  Allison M. Okamura,et al.  Haptic Virtual Fixtures for Robot-Assisted Manipulation , 2005, ISRR.

[54]  G.S. Dhillon,et al.  Direct neural sensory feedback and control of a prosthetic arm , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[55]  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.

[56]  Grigore C. Burdea,et al.  Force and Touch Feedback for Virtual Reality , 1996 .

[57]  Sibylle B. Thies,et al.  The reality of myoelectric prostheses : understanding what makes , 2018 .

[58]  Etienne Burdet,et al.  Quantization of human motions and learning of accurate movements , 1998, Biological Cybernetics.

[59]  J. Randall Flanagan,et al.  Coding and use of tactile signals from the fingertips in object manipulation tasks , 2009, Nature Reviews Neuroscience.

[60]  Christian Cipriani,et al.  A Miniature Vibrotactile Sensory Substitution Device for Multifingered Hand Prosthetics , 2012, IEEE Transactions on Biomedical Engineering.

[61]  Siddhartha S. Srinivasa,et al.  A policy-blending formalism for shared control , 2013, Int. J. Robotics Res..

[62]  Marcia K. O'Malley,et al.  Validation of a smooth movement model for a human reaching task , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[63]  K. Horch,et al.  Residual function in peripheral nerve stumps of amputees: implications for neural control of artificial limbs. , 2004, The Journal of hand surgery.

[64]  F. Sup,et al.  A Haptic Feedback Scheme to Accurately Position a Virtual Wrist Prosthesis Using a Three-Node Tactor Array , 2015, PloS one.

[65]  Marcia Kilchenman O'Malley,et al.  Vibrotactile feedback of pose error enhances myoelectric control of a prosthetic hand , 2013, 2013 World Haptics Conference (WHC).

[66]  Maurizio Ferrarin,et al.  Changes of gait pattern in children with Charcot-Marie-Tooth disease type 1A: a 18 months follow-up study , 2013, Journal of NeuroEngineering and Rehabilitation.

[67]  E Kentala,et al.  Effect of displacement, velocity, and combined vibrotactile tilt feedback on postural control of vestibulopathic subjects. , 2010, Journal of vestibular research : equilibrium & orientation.

[68]  Shahid Hussain,et al.  An Adaptive Wearable Parallel Robot for the Treatment of Ankle Injuries , 2014, IEEE/ASME Transactions on Mechatronics.

[69]  Antonio Bicchi,et al.  An atlas of physical human-robot interaction , 2008 .

[70]  Illah R. Nourbakhsh,et al.  A survey of socially interactive robots , 2003, Robotics Auton. Syst..

[71]  Allison M. Okamura,et al.  Conveying the configuration of a virtual human hand using vibrotactile feedback , 2012, 2012 IEEE Haptics Symposium (HAPTICS).

[72]  Peter Wolf,et al.  The effect of haptic guidance and visual feedback on learning a complex tennis task , 2013, Experimental Brain Research.

[73]  M. Sile O'Modhrain,et al.  The Virtual Teacher , 1999 .

[74]  Grant D. Huang,et al.  Robot-assisted therapy for long-term upper-limb impairment after stroke. , 2010, The New England journal of medicine.

[75]  R. Riener,et al.  Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[76]  Alin Albu-Schäffer,et al.  Towards the Robotic Co-Worker , 2009, ISRR.

[77]  Allison M. Okamura,et al.  Recognition of operator motions for real-time assistance using virtual fixtures , 2003, 11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2003. HAPTICS 2003. Proceedings..

[78]  E Bizzi,et al.  Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task. , 1997, Journal of motor behavior.

[79]  Weihua Sheng,et al.  Using human motion estimation for human-robot cooperative manipulation , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[80]  E. D. Engeberg,et al.  Adaptive Sliding Mode Control for Prosthetic Hands to Simultaneously Prevent Slip and Minimize Deformation of Grasped Objects , 2013, IEEE/ASME Transactions on Mechatronics.

[81]  Cagatay Basdogan,et al.  Intention Recognition for Dynamic Role Exchange in Haptic Collaboration , 2013, IEEE Transactions on Haptics.

[82]  Sunil Kumar Agrawal,et al.  Design of a Cable-Driven Arm Exoskeleton (CAREX) for Neural Rehabilitation , 2012, IEEE Transactions on Robotics.

[83]  E. Guglielmelli,et al.  Forearm orientation guidance with a vibrotactile feedback bracelet: On the directionality of tactile motor communication , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[84]  Manuel G. Catalano,et al.  Adaptive synergies for the design and control of the Pisa/IIT SoftHand , 2014, Int. J. Robotics Res..

[85]  Abhishek Gupta,et al.  Shared Control in Haptic Systems for Performance Enhancement and Training , 2006 .

[86]  D.J. Reinkensmeyer,et al.  Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[87]  Katherine J. Kuchenbecker,et al.  Effects of Vibrotactile Feedback on Human Learning of Arm Motions , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[88]  Nicola Vitiello,et al.  Intention-Based EMG Control for Powered Exoskeletons , 2012, IEEE Transactions on Biomedical Engineering.

[89]  Brian L. Davies,et al.  Active Constraints/Virtual Fixtures: A Survey , 2014, IEEE Transactions on Robotics.

[90]  Stefan Glasauer,et al.  How predictive is grip force control in the complete absence of somatosensory feedback? , 2004, Brain : a journal of neurology.

[91]  Marcia Kilchenman O'Malley,et al.  The role of auxiliary and referred haptic feedback in myoelectric control , 2015, 2015 IEEE World Haptics Conference (WHC).

[92]  Florence Bara,et al.  A Visuo-Haptic Device - Telemaque - Increases Kindergarten Children's Handwriting Acquisition , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).

[93]  Robert Riener,et al.  A tendon-based parallel robot applied to motor learning in sports , 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[94]  J. Edward Colgate,et al.  Cobot architecture , 2001, IEEE Trans. Robotics Autom..

[95]  Müjdat Çetin,et al.  Brain Computer Interface based robotic rehabilitation with online modification of task speed , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[96]  R. Riener,et al.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review , 2012, Psychonomic Bulletin & Review.

[97]  S. Coquillart,et al.  Haptic Guidance Improves the Visuo-Manual Tracking of Trajectories , 2008, PloS one.

[98]  Clint Heyer Human-robot interaction and future industrial robotics applications , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[99]  S Glasauer,et al.  The effects of digital anaesthesia on predictive grip force adjustments during vertical movements of a grasped object , 2001, The European journal of neuroscience.

[100]  S.M.N.A. Senanayake,et al.  A Real-Time System With Assistive Feedback for Postural Control in Rehabilitation , 2010, IEEE/ASME Transactions on Mechatronics.

[101]  David J. Reinkensmeyer,et al.  Haptic Guidance Can Enhance Motor Learning of a Steering Task , 2008, Journal of motor behavior.

[102]  Cara E. Stepp,et al.  Vibrotactile Sensory Substitution for Electromyographic Control of Object Manipulation , 2013, IEEE Transactions on Biomedical Engineering.

[103]  T B Sheridan,et al.  Teleoperator Performance with Varying Force and Visual Feedback , 1994, Human factors.

[104]  E. Burdet,et al.  A Framework to Describe, Analyze and Generate Interactive Motor Behaviors , 2012, PloS one.

[105]  Michael E. Bratman,et al.  Shared Cooperative Activity , 1991 .

[106]  J. F. Meech,et al.  User requirements when interacting with virtual objects , 1996 .

[107]  Tingfang Yan,et al.  Review of assistive strategies in powered lower-limb orthoses and exoskeletons , 2015, Robotics Auton. Syst..

[108]  Simona Casini,et al.  Design and realization of the CUFF - clenching upper-limb force feedback wearable device for distributed mechano-tactile stimulation of normal and tangential skin forces , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[109]  Richard A. Schmidt,et al.  Frequent Augmented Feedback Can Degrade Learning: Evidence and Interpretations , 1991 .

[110]  Hugh M. Herr,et al.  Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits , 2008, Neural Networks.

[111]  A. U. Pehlivan,et al.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy , 2014, Current Physical Medicine and Rehabilitation Reports.

[112]  Blake Hannaford,et al.  Virtual Training for a Manual Assembly Task , 2001 .

[113]  Chee-Meng Chew,et al.  Motion intent recognition for control of a lower extremity assistive device (LEAD) , 2013, 2013 IEEE International Conference on Mechatronics and Automation.

[114]  T. Kuiken,et al.  Occupational therapy protocol for amputees with targeted muscle reinnervation. , 2009, Journal of rehabilitation research and development.

[115]  Antonio Bicchi,et al.  Modelling natural and artificial hands with synergies , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[116]  Cagatay Basdogan,et al.  The role of roles: Physical cooperation between humans and robots , 2012, Int. J. Robotics Res..

[117]  Raul Benitez,et al.  Motor adaptation as a greedy optimization of error and effort. , 2007, Journal of neurophysiology.

[118]  Dylan P. Losey,et al.  Trajectory Deformations From Physical Human–Robot Interaction , 2017, IEEE Transactions on Robotics.

[119]  C. Pylatiuk,et al.  Results of an Internet survey of myoelectric prosthetic hand users , 2007, Prosthetics and orthotics international.

[120]  Dana Kulic,et al.  Affective State Estimation for Human–Robot Interaction , 2007, IEEE Transactions on Robotics.

[121]  Antonio Frisoli,et al.  Vibrotactile perception assessment for a rowing training system , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[122]  Marcia K. O'Malley,et al.  Workload and Performance Analyses with Haptic and Visually Guided Training in a Dynamic Motor Skill Task , 2014 .

[123]  Marcia Kilchenman O'Malley,et al.  Design and validation of the RiceWrist-S exoskeleton for robotic rehabilitation after incomplete spinal cord injury , 2014, Robotica.

[124]  Kyle B. Reed,et al.  Physical Collaboration of Human-Human and Human-Robot Teams , 2008, IEEE Transactions on Haptics.

[125]  Anca D. Dragan,et al.  Learning Robot Objectives from Physical Human Interaction , 2017, CoRL.

[126]  José del R. Millán,et al.  Brain-Controlled Wheelchairs: A Robotic Architecture , 2013, IEEE Robotics & Automation Magazine.

[127]  Katherine J. Kuchenbecker,et al.  Evaluation of Tactile Feedback Methods for Wrist Rotation Guidance , 2012, IEEE Transactions on Haptics.

[128]  P. Richard,et al.  Human perceptual issues in virtual environments: sensory substitution and information redundancy , 1995, Proceedings 4th IEEE International Workshop on Robot and Human Communication.

[129]  Jacqueline S. Hebert,et al.  Applications of sensory feedback in motorized upper extremity prosthesis: a review , 2014, Expert review of medical devices.

[130]  C. Cipriani,et al.  HyVE: Hybrid Vibro-Electrotactile Stimulation for Sensory Feedback and Substitution in Rehabilitation , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[131]  Tara L. McIsaac,et al.  Within-trial modulation of multi-digit forces to friction , 2011, Experimental Brain Research.

[132]  William R. Provancher,et al.  Planar Hand Motion Guidance Using Fingertip Skin-Stretch Feedback , 2014, IEEE Transactions on Haptics.

[133]  C. Winstein,et al.  Effects of physical guidance and knowledge of results on motor learning: support for the guidance hypothesis. , 1994, Research quarterly for exercise and sport.

[134]  D. Reinkensmeyer,et al.  Review of control strategies for robotic movement training after neurologic injury , 2009, Journal of NeuroEngineering and Rehabilitation.

[135]  Robert Riener,et al.  Assistance or challenge? Filling a gap in user-cooperative control , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[136]  Le Li,et al.  Assistive Control System Using Continuous Myoelectric Signal in Robot-Aided Arm Training for Patients After Stroke , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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

[138]  Marcia Kilchenman O'Malley,et al.  Progressive haptic and visual guidance for training in a virtual dynamic task , 2010, 2010 IEEE Haptics Symposium.

[139]  David Alan Boone,et al.  Closed-Loop Vibratory Haptic Feedback in Upper-Limb Prosthetic Users , 2014 .

[140]  Manuel G. Catalano,et al.  A synergy-driven approach to a myoelectric hand , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[141]  Danica Kragic,et al.  Adaptive Virtual Fixtures for Machine-Assisted Teleoperation Tasks , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[142]  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.

[143]  Kay M. Stanney,et al.  Deriving haptic design guidelines from human physiological, psychophysical, and neurological foundations , 2004, IEEE Computer Graphics and Applications.

[144]  E. Biddiss,et al.  Upper limb prosthesis use and abandonment: A survey of the last 25 years , 2007, Prosthetics and orthotics international.

[145]  Sandra Hirche,et al.  Performance related energy exchange in haptic human-human interaction in a shared virtual object manipulation task , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[146]  Julie M. Walker,et al.  [D86] Skin-stretch proprioceptive feedback for a robotic gripper , 2014, 2014 IEEE Haptics Symposium (HAPTICS).

[147]  Keng Peng Tee,et al.  Continuous Role Adaptation for Human–Robot Shared Control , 2015, IEEE Transactions on Robotics.

[148]  Jian Huang,et al.  Human-Walking-Intention-Based Motion Control of an Omnidirectional-Type Cane Robot , 2013, IEEE/ASME Transactions on Mechatronics.

[149]  Brice Rebsamen,et al.  A brain controlled wheelchair to navigate in familiar environments. , 2010, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[150]  Marcia Kilchenman O'Malley,et al.  Tactile feedback of object slip improves performance in a grasp and hold task , 2014, 2014 IEEE Haptics Symposium (HAPTICS).

[151]  T. Kuiken,et al.  Sensory capacity of reinnervated skin after redirection of amputated upper limb nerves to the chest , 2009, Brain : a journal of neurology.

[152]  Vincent Hayward,et al.  Slip-induced vibration influences the grip reflex: a pilot study , 2013, 2013 World Haptics Conference (WHC).

[153]  Mark R. Cutkosky,et al.  Rotational Skin Stretch Feedback: A Wearable Haptic Display for Motion , 2010, IEEE Transactions on Haptics.

[154]  Jose L Pons,et al.  Wearable Robots: Biomechatronic Exoskeletons , 2008 .

[155]  Marcia Kilchenman O'Malley,et al.  Negative efficacy of fixed gain error reducing shared control for training in virtual environments , 2009, TAP.

[156]  Sandra Hirche,et al.  Synthesizing Anticipatory Haptic Assistance Considering Human Behavior Uncertainty , 2015, IEEE Transactions on Robotics.

[157]  Peter B. Shull,et al.  Haptic wearables as sensory replacement, sensory augmentation and trainer – a review , 2015, Journal of NeuroEngineering and Rehabilitation.

[158]  A. Okamura Haptic feedback in robot-assisted minimally invasive surgery , 2009, Current opinion in urology.

[159]  Michael Goldfarb,et al.  Multiclass Real-Time Intent Recognition of a Powered Lower Limb Prosthesis , 2010, IEEE Transactions on Biomedical Engineering.

[160]  Marcia K. O'Malley,et al.  Design of a Haptic Arm Exoskeleton for Training and Rehabilitation , 2004 .

[161]  T. Wright,et al.  Prosthetic usage in major upper extremity amputations. , 1995, The Journal of hand surgery.

[162]  Shuzhi Sam Ge,et al.  Human–Robot Collaboration Based on Motion Intention Estimation , 2014, IEEE/ASME Transactions on Mechatronics.

[163]  John-John Cabibihan,et al.  Towards enhanced control of upper prosthetic limbs: A force-myographic approach , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[164]  Marcia Kilchenman O'Malley,et al.  Progressive shared control for training in virtual environments , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[165]  Robert Riener,et al.  INS/EKF-based stride length, height and direction intent detection for walking assistance robots , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[166]  L. L. Whitcomb,et al.  User comprehension of task performance with varying impedance in a virtual prosthetic arm: A pilot study , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).