A Velocity-Field-Based Controller for Assisting Leg Movement During Walking With a Bilateral Hip and Knee Lower Limb Exoskeleton

This paper presents a control approach for an overground lower limb exoskeleton that is intended to provide guidance and assistance to poorly ambulatory individuals during walking without unduly interfering with their ability to maintain balance. The control approach achieves these objectives by emulating a viscous flow field acting on the lower limb joints. The extent to which the control approach achieves the objectives was assessed in experiments, conducted on five healthy subjects, comparing guidance and disturbance characteristics of the velocity-based controller to a potential-field-based controller. Results show that the flow controller provides a combination of lower guidance error and lower disturbance to the user, relative to the potential-field-based controller. The paper also discusses various potentially beneficial characteristics of the flow controller, such as first-order homogeneous behavior, implicitly combined guidance and assistance behaviors, and improved directionality in error correction relative to a potential-field-based controller.

[1]  Marcel P Dijkers,et al.  Time and Effort Required by Persons with Spinal Cord Injury to Learn to Use a Powered Exoskeleton for Assisted Walking. , 2015, Topics in spinal cord injury rehabilitation.

[2]  Jerry E Pratt,et al.  Design and evaluation of Mina: A robotic orthosis for paraplegics , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[3]  Andreas Wege,et al.  Application of EMG signals for controlling exoskeleton robots , 2006, Biomedizinische Technik. Biomedical engineering.

[4]  Clare Hartigan,et al.  Mobility Outcomes Following Five Training Sessions with a Powered Exoskeleton. , 2015, Topics in spinal cord injury rehabilitation.

[5]  Gong Chen,et al.  A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy. , 2013, Critical reviews in biomedical engineering.

[6]  Yasuhisa Hasegawa,et al.  Intention-based walking support for paraplegia patients with Robot Suit HAL , 2007 .

[7]  Jason Kerestes,et al.  Limit Cycles to Enhance Human Performance Based on Phase Oscillators , 2015 .

[8]  Diane L. Damiano,et al.  A lower-extremity exoskeleton improves knee extension in children with crouch gait from cerebral palsy , 2017, Science Translational Medicine.

[9]  Wei Meng,et al.  Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation , 2015 .

[10]  Michael Goldfarb,et al.  A Method for the Autonomous Control of Lower Limb Exo-skeletons for Persons with Paraplegia. , 2012, Journal of medical devices.

[11]  A. Esquenazi,et al.  The ReWalk Powered Exoskeleton to Restore Ambulatory Function to Individuals with Thoracic-Level Motor-Complete Spinal Cord Injury , 2012, American journal of physical medicine & rehabilitation.

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

[13]  Conor J. Walsh,et al.  A soft exosuit for patients with stroke: Feasibility study with a mobile off-board actuation unit , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[14]  Conor J. Walsh,et al.  Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit , 2017, Science Robotics.

[15]  Nicola Vitiello,et al.  Oscillator-based assistance of cyclical movements: model-based and model-free approaches , 2011, Medical & Biological Engineering & Computing.

[16]  Andrea Parri,et al.  Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks , 2017, Front. Neurorobot..

[17]  Shiqian Wang,et al.  Design and Control of the MINDWALKER Exoskeleton , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[18]  J. Moreno,et al.  The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study , 2015, Journal of NeuroEngineering and Rehabilitation.

[19]  K. Kiguchi,et al.  A Study on EMG-Based Control of Exoskeleton Robots for Human Lower-limb Motion Assist , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[20]  Daniel P. Ferris,et al.  A pneumatically powered knee-ankle-foot orthosis (KAFO) with myoelectric activation and inhibition , 2009, Journal of NeuroEngineering and Rehabilitation.

[21]  H. Kawamoto,et al.  Power assist method for HAL-3 using EMG-based feedback controller , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

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

[23]  Michael Goldfarb,et al.  A Controller for Guiding Leg Movement During Overground Walking With a Lower Limb Exoskeleton , 2018, IEEE Transactions on Robotics.

[24]  Daniel P. Ferris,et al.  A Biomechanical Comparison of Proportional Electromyography Control to Biological Torque Control Using a Powered Hip Exoskeleton , 2017, Front. Bioeng. Biotechnol..

[25]  Michael Goldfarb,et al.  An Assistive Control Approach for a Lower-Limb Exoskeleton to Facilitate Recovery of Walking Following Stroke , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[26]  Thomas G. Sugar,et al.  Nonlinear, Phase-Based Oscillator to Generate and Assist Periodic Motions , 2016 .

[27]  Tom Carlson,et al.  Statically vs dynamically balanced gait: Analysis of a robotic exoskeleton compared with a human , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[28]  Perry Y. Li,et al.  Passive velocity field control of mechanical manipulators , 1995, IEEE Trans. Robotics Autom..

[29]  Richard A. Brand,et al.  The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .

[30]  Lida Xu,et al.  EMG and EPP-Integrated Human–Machine Interface Between the Paralyzed and Rehabilitation Exoskeleton , 2012, IEEE Transactions on Information Technology in Biomedicine.

[31]  Jeffrey A. Ward,et al.  Stroke Survivors' Gait Adaptations to a Powered Ankle–Foot Orthosis , 2011, Adv. Robotics.