Development of a “transparent operation mode” for a lower-limb exoskeleton designed for children with cerebral palsy

Robot-assisted rehabilitation in children and young adults with Cerebral Palsy (CP) is expected to lead to neuroplasticity and reduce the burden of motor impairments. For a lower-limb exoskeleton to perform well in this context, it is essential that the robot be "transparent" to the user and produce torques only when voluntarily-generated motor outputs deviate significantly from the target trajectory. However, the development of transparent operation modes and assistance-as-need control schema are still open problems with several implementation challenges. This paper presents a theoretical approach and provides a discussion of the key issues pertinent to designing a transparent operation mode for a lower-limb exoskeleton suitable for children and young adults with CP. Based on the dynamics of exoskeletons as well as friction models and human-robot interaction models, we propose a control strategy aimed to minimize human-machine interaction forces when subjects generate motor outputs that match the target trajectory. The material is presented as a conceptual framework that can be generalized to other exoskeleton systems for overground walking.

[1]  Serena Maggioni,et al.  An Adaptive and Hybrid End-Point/Joint Impedance Controller for Lower Limb Exoskeletons , 2018, Front. Robot. AI.

[2]  Sunil K. Agrawal,et al.  Improving transparency of powered exoskeletons using force/torque sensors on the supporting cuffs , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[3]  Marco H. Terra,et al.  Derivation of a Markovian Controller for an exo-skeleton by overcome the benchmarks of a single and double inverted pendulum , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[4]  Tuna Balkan,et al.  Identification of Viscous and Coulomb Friction in Motion Constrained Systems , 2018, 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

[5]  Paolo Bonato,et al.  Design and control of a robotic lower extremity exoskeleton for gait rehabilitation , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  K. Krosschell,et al.  Treadmill training with partial body‐weight support in children with cerebral palsy: a systematic review , 2009, Developmental medicine and child neurology.

[7]  P. Bonato,et al.  Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation , 2019, BMC Musculoskeletal Disorders.

[8]  A. Esquenazi,et al.  Safety and tolerance of the ReWalk™ exoskeleton suit for ambulation by people with complete spinal cord injury: A pilot study , 2012, The journal of spinal cord medicine.

[9]  Carlos Canudas de Wit,et al.  Friction Models and Friction Compensation , 1998, Eur. J. Control.

[10]  Ning Jiang,et al.  Enhanced Low-Latency Detection of Motor Intention From EEG for Closed-Loop Brain-Computer Interface Applications , 2014, IEEE Transactions on Biomedical Engineering.

[11]  A. Frizera-Neto,et al.  Pseudo-online Multimodal Interface Based on Movement Prediction for Lower Limbs Rehabilitation , 2017 .

[12]  Paolo Bonato,et al.  Robotic Gait Rehabilitation Trainer , 2014, IEEE/ASME Transactions on Mechatronics.

[13]  B. Dan,et al.  A report: the definition and classification of cerebral palsy April 2006 , 2007, Developmental medicine and child neurology. Supplement.

[14]  M. Indri,et al.  Friction Compensation in Robotics: an Overview , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[15]  Homayoon Kazerooni,et al.  The development and testing of a human machine interface for a mobile medical exoskeleton , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Daniel Sanz-Merodio,et al.  ATLAS 2020: THE PEDIATRIC GAIT EXOSKELETON PROJECT , 2017 .

[17]  Jose L. Contreras-Vidal,et al.  Robotic Assistance of Human Motion Using Active-Backdrivability on a Geared Electromagnetic Motor , 2016 .

[18]  Yasuhiro Akiyama,et al.  Knee Joint Misalignment in Exoskeletons for the Lower Extremities: Effects on User's Gait , 2015, IEEE Transactions on Robotics.

[19]  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.

[20]  Rajnikant V. Patel,et al.  Friction Identification and Compensation in Robotic Manipulators , 2007, IEEE Transactions on Instrumentation and Measurement.

[21]  T. R. Bedding,et al.  Dynamics of a double pendulum with distributed mass , 2008, 0812.0393.

[22]  J. Pons,et al.  Transparent Mode for Lower Limb Exoskeleton , 2017 .

[23]  Michael Goldfarb,et al.  Towards the use of a lower limb exoskeleton for locomotion assistance in individuals with neuromuscular locomotor deficits , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Doyoung Jeon,et al.  A Method to Accurately Estimate the Muscular Torques of Human Wearing Exoskeletons by Torque Sensors , 2015, Sensors.

[25]  I. Niazi,et al.  Movement intention detection in adolescents with cerebral palsy from single-trial EEG , 2018, Journal of neural engineering.

[26]  Hong Cheng,et al.  Fuzzy-based impedance regulation for control of the coupled human-exoskeleton system , 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

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

[28]  Marco Cempini,et al.  Self-Alignment Mechanisms for Assistive Wearable Robots: A Kinetostatic Compatibility Method , 2013, IEEE Transactions on Robotics.

[29]  Byeonghun Na,et al.  Back-drivability recovery of a full lower extremity assistive robot , 2012, 2012 12th International Conference on Control, Automation and Systems.

[30]  G. Colombo,et al.  Feasibility of robotic‐assisted locomotor training in children with central gait impairment , 2007, Developmental medicine and child neurology.

[31]  Glenn R. Heppler,et al.  Control of Harmonic Drive Motor Actuated Flexible Linkages , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

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

[33]  Tobias Nef,et al.  Improving backdrivability in geared rehabilitation robots , 2009, Medical & Biological Engineering & Computing.

[34]  J. Gage,et al.  An update on the treatment of gait problems in cerebral palsy. , 2001, Journal of pediatric orthopedics. Part B.

[35]  Carlos Canudas de Wit,et al.  Adaptive friction compensation with partially known dynamic friction model , 1997 .

[36]  Carlos Canudas de Wit,et al.  A new model for control of systems with friction , 1995, IEEE Trans. Autom. Control..

[37]  Hiroshi Kaminaga,et al.  Mechanism and Control of Knee Power Augmenting Device with Backdrivable Electro-Hydrostatic Actuator , 2011 .

[38]  Paulo Félix,et al.  Towards human-knee orthosis interaction based on adaptive impedance control through stiffness adjustment , 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

[39]  Juan C. Moreno,et al.  Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art , 2016, IEEE Systems Journal.

[40]  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.

[41]  Claysson Bruno Santos Vimieiro,et al.  Optimal design and torque control of an active magnetorheological prosthetic knee , 2018, Smart Materials and Structures.

[42]  Yasuhisa Hasegawa,et al.  Sit-to-Stand and Stand-to-Sit Transfer Support for Complete Paraplegic Patients with Robot Suit HAL , 2010, Adv. Robotics.

[43]  M. Durkin,et al.  Prevalence and functioning of children with cerebral palsy in four areas of the United States in 2006: a report from the Autism and Developmental Disabilities Monitoring Network. , 2011, Research in developmental disabilities.

[44]  Bram Vanderborght,et al.  Bilateral, Misalignment-Compensating, Full-DOF Hip Exoskeleton: Design and Kinematic Validation , 2017, Applied bionics and biomechanics.

[45]  A. Meyer-Heim,et al.  Robotic-assisted treadmill therapy improves walking and standing performance in children and adolescents with cerebral palsy. , 2010, European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society.

[46]  Yoshiyuki Sankai,et al.  Virtual impedance adjustment in unconstrained motion for an exoskeletal robot assisting the lower limb , 2005, Adv. Robotics.

[47]  Manuel Cestari,et al.  Wearable exoskeletons for the physical treatment of children with quadriparesis , 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

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

[49]  Yanhe Zhu,et al.  Human–machine force interaction design and control for the HIT load-carrying exoskeleton , 2016 .

[50]  Elsa Andrea Kirchner,et al.  Multimodal Movement Prediction - Towards an Individual Assistance of Patients , 2014, PloS one.

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

[52]  Hyung-Soon Park,et al.  A Robotic Exoskeleton for Treatment of Crouch Gait in Children With Cerebral Palsy: Design and Initial Application , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.