Long Peng
Affiliations:- Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
According to our database1,
Long Peng
authored at least 12 papers
between 2013 and 2017.
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Bibliography
2017
Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation.
Sci. China Inf. Sci., 2017
Robot assisted upper limb rehabilitation training and clinical evaluation: Results of a pilot study.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017
2016
Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg - An LLRR Under Motion Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2016
An sEMG-driven neuromusculoskeletal model of upper limb for rehabilitation robot control.
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016
Experimental study of robot-assisted exercise training for knee rehabilitation based on a practical EMG-driven model.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
2015
A practical EMG-driven musculoskeletal model for dynamic torque estimation of knee joint.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015
2014
sEMG-Based Single-Joint Active Training with iLeg - A Horizontal Exoskeleton for Lower Limb Rehabilitation.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Task-oriented active training based on adaptive impedance control with iLeg - A horizontal exoskeleton for lower limb rehabilitation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
An FES-assisted training strategy combined with impedance control for a lower limb rehabilitation robot.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013