Driving force assistance control for wheelchair operation using an exoskeletal robot

Cervical Cord Injury(CCI) causes a form of upper limb dysfunction. In an individual with C5-level CCI, which is the most frequent of all eight types of CCI, force can be applied in the direction of flexion by the biceps brachii, while extension force cannot be applied by the triceps brachii. Without the ability of the triceps brachii to exert this force, individuals with a C5-level CCI cannot propel a wheelchair along a carpet or sloping road. In this study, we developed a driving force assistance control system for wheelchair operation using an exoskeletal robot. We first analyzed the difference between the wheelchair operations of a healthy person and a C5-level CCI. We then designed a control model that included a user and a wheelchair. The wearer's arm was modeled as a two-link manipulator, and the extension force and hand position were estimated using the equation of motion. The estimated extension force was compared with the driving force required to operate a wheelchair with the target velocity defined at the time of flexion of an arm. We then applied the proposed method via an exoskeletal robot. The effectiveness of the proposed method is demonstrated by experimental of wheelchair operation with C5-level CCI.

[1]  Sunil Kumar Agrawal,et al.  Transition from mechanical arm to human arm with CAREX: A cable driven ARm EXoskeleton (CAREX) for neural rehabilitation , 2012, 2012 IEEE International Conference on Robotics and Automation.

[2]  Makoto Sasaki,et al.  Higher Dimensional Spatial Expression of Upper Limb Manipulation Ability Based on Human Joint Torque Characteristics , 2010 .

[3]  Yoshiaki Hayashi,et al.  Adaptive perception-assist to various tasks for an upper-limb power-assist exoskeleton robot , 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

[4]  Massimo Bergamasco,et al.  Body Extender: Whole body exoskeleton for human power augmentation , 2011, 2011 IEEE International Conference on Robotics and Automation.

[5]  Ralf Koeppe,et al.  Dynamic manipulability analysis of compliant motion , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[6]  Xiaoou Li,et al.  PID admittance control for an upper limb exoskeleton , 2011, Proceedings of the 2011 American Control Conference.

[7]  Masaaki Kobayashi,et al.  Development of an Upper Limb Power Assist System Using Pneumatic Actuators for Farming Lift-up Motion , 2009 .

[8]  Adrian D. C. Chan,et al.  Comparing continuous and intermittent assistance controllers for assistive devices , 2011, 2011 IEEE International Conference on Robotics and Automation.

[9]  Nicola Vitiello,et al.  NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation , 2013, IEEE Transactions on Robotics.

[10]  Jian Huang,et al.  Control of upper-limb power-assist exoskeleton based on motion intention recognition , 2011, 2011 IEEE International Conference on Robotics and Automation.

[11]  Ken'ichi Yano,et al.  A wheelchair operation assistance control for a wearable robot using the user's residual function , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[12]  Yoshiaki Hayashi,et al.  Compensation of the effects of muscle fatigue on EMG-based control using fuzzy rules based scheme , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[13]  Dikai Liu,et al.  Experimental evaluation of a model-based assistance-as-needed paradigm using an assistive robot , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[14]  Yoshiyuki Sankai,et al.  Exoskeleton robot control based on cane and body joint synergies , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.