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A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation.

, , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (11): 3433-3443 (2019)

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An sEMG-driven neuromusculoskeletal model of upper limb for rehabilitation robot control., , , , , and . ROBIO, page 1486-1491. IEEE, (2016)Experimental Validation of Minimum-Jerk Principle in Physical Human-Robot Interaction., , , , , and . ICONIP (7), volume 11307 of Lecture Notes in Computer Science, page 499-509. Springer, (2018)A CPG-Inspired Assist-As-Needed Controller for an Upper-Limb Rehabilitation Robot., , , , , and . SSCI, page 2200-2206. IEEE, (2018)Heuristic vision based terrain recognition for lower limb exoskeletons., , , , , and . i-CREATe, page 25-28. ACM, (2023)sEMG-Based Torque Estimation Using Time-Delay ANN for Control of an Upper-Limb Rehabilitation Robot., , , , , and . CBS, page 585-591. IEEE, (2018)Design and control of a 3-DOF rehabilitation robot for forearm and wrist., , , and . EMBC, page 4127-4130. IEEE, (2017)Genetic Algorithm Based Dynamics Modeling and Control of a Parallel Rehabilitation Robot., , , , and . CEC, page 1-6. IEEE, (2018)Relative torque contribution based model simplification for robotic dynamics identification., , , , , , and . SSCI, page 1-7. IEEE, (2017)A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation., , , and . IEEE Trans. Neural Networks Learn. Syst., 30 (11): 3433-3443 (2019)Kinematic Redundancy Analysis during Goal-Directed Motion for Trajectory Planning of an Upper-Limb Exoskeleton Robot., , , , , , and . EMBC, page 5251-5255. IEEE, (2019)