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Optimal impedance control for robot-aided rehabilitation of walking based on estimation of patient behavior.

, and . BioRob, page 1023-1028. IEEE, (2016)

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Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics., , , and . BioRob, page 629-634. IEEE, (2020)Real-Time Identification of Impaired Gait Phases Using a Single Foot-Mounted Inertial Sensor: Review and Feasibility Study., , , and . BioRob, page 1157-1162. IEEE, (2018)Adaptive Impedance Control Applied to Robot-Aided Neuro-Rehabilitation of the Ankle., , , , and . IEEE Robotics Autom. Lett., 4 (2): 185-192 (2019)Evaluation of Motor Primitive-Based Adaptive Control for Lower Limb Exoskeletons., , and . Frontiers Robotics AI, (2020)Inertial Sensor Error Reduction through Calibration and Sensor Fusion., , , , , , and . Sensors, 16 (2): 235 (2016)Impedance Control for Robotic Rehabilitation: A Robust Markovian Approach., , , , , and . Frontiers Neurorobotics, (2017)Nonlinear and Markovian H∞ controls of underactuated manipulators., and . IEEE Trans. Control. Syst. Technol., 12 (6): 811-826 (2004)Neural Network-based H Control for Fully Actuated and Underactuated Cooperative Manipulators., and . ACC, page 3259-3264. IEEE, (2007)IMU-based Transparency Control of Exoskeletons Driven by Series Elastic Actuator., , , and . CDC, page 2594-2599. IEEE, (2022)Adaptive strategy for multi-user robotic rehabilitation games., , , , and . EMBC, page 1395-1398. IEEE, (2011)