Exoskeletons as Mechatronic Design Example

Exoskeletons are a perfect example of a mechatronics product. They illustrate the close integration and interdependence of mechanical design, drive train, sensors, control strategy and user interface. Recent developments of our lab will be discussed in detail. Application examples include paraplegics, amputees, muscular dystrophy patients. The motivations of the users exoskeletons are as diverse as sporting challenge, life quality improvement for daily living, rehabilitation and social integration. Links to Cognitive Neurosciences will also be briefly discussed.

[1]  Hannes Bleuler,et al.  EXiO—A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[2]  Hannes Bleuler,et al.  Mechanisms for actuated assistive hip orthoses , 2015, Robotics Auton. Syst..

[3]  Daniel P. Ferris,et al.  State of the Art and Future Directions for Lower Limb Robotic Exoskeletons , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  Gordon Cheng,et al.  Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients , 2016, Scientific Reports.

[5]  Hannes Bleuler,et al.  TWIICE — A lightweight lower-limb exoskeleton for complete paraplegics , 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

[6]  Robert Riener,et al.  Control strategies for active lower extremity prosthetics and orthotics: a review , 2015, Journal of NeuroEngineering and Rehabilitation.

[7]  Solaiman Shokur.  Virtual reality based Brain-Machine-Interface for Sensori-Motor and Social experiments with Primates , 2013 .

[8]  J L Smith,et al.  Stepping behaviors in chronic spinal cats with one hindlimb deafferented , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[9]  Trieu Phat Luu,et al.  Brain–machine interfaces for controlling lower-limb powered robotic systems , 2018, Journal of neural engineering.

[10]  Jon Driver,et al.  Reaching with a tool extends visual–tactile interactions into far space: evidence from cross-modal extinction , 2001, Neuropsychologia.

[11]  Jeremy Olivier,et al.  Development of Walk Assistive Orthoses for Elderly , 2016 .

[12]  M. L. Nicolelis,et al.  Assimilation of virtual legs and perception of floor texture by complete paraplegic patients receiving artificial tactile feedback , 2016, Scientific Reports.

[13]  G. Verni,et al.  Amputation and prosthesis implantation shape body and peripersonal space representations , 2013, Scientific Reports.

[14]  M. Tanaka,et al.  Coding of modified body schema during tool use by macaque postcentral neurones. , 1996, Neuroreport.

[15]  A. Ortlieb,et al.  From gait measurements to design of assistive orthoses for people with neuromuscular diseases , 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

[16]  Marco Molinari,et al.  The Sense of the Body in Individuals with Spinal Cord Injury , 2012, PloS one.

[17]  Hannes Bleuler,et al.  AUTONOMYO: Design Challenges of Lower Limb Assistive Device for Elderly People, Multiple Sclerosis and Neuromuscular Diseases , 2017 .

[18]  Robert Riener,et al.  The Cybathlon promotes the development of assistive technology for people with physical disabilities , 2016, Journal of NeuroEngineering and Rehabilitation.

[19]  P. Haggard,et al.  Body image distortions following spinal cord injury , 2012, Journal of Neurology, Neurosurgery & Psychiatry.