Yang-Yang Feng

Papers

Total Citations

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About

Yang-Yang Feng is a researcher in biomedical engineering and robotics, specializing in the integration of brain-computer interfaces (BCIs) and surface electromyography (sEMG) for assistive and rehabilitative technologies. Their work focuses on developing intelligent control systems that enable natural, human-like motion in robotic devices, such as wheeled robots, bionic legs, and exoskeletons. A key contribution is the combination of electroencephalography (EEG)-based BCIs with adaptive neuro-fuzzy inference systems (ANFIS) to control nonholonomic mobile systems, reducing the need for intensive user training. Feng also pioneered the generation of velocity-adapted jumping gaits from sEMG signals for bionic leg control, addressing the challenge of processing highly variable, time-dependent muscle signals. Additionally, their research on option-based motion planning and ANFIS-based tracking control enhances the autonomy of wheeled robots in cluttered environments. With over 8 citations across their most-cited papers, Feng’s work has been presented at international venues, including IEEE conferences, and contributes to advancing human-robot interaction and rehabilitation robotics. Their interdisciplinary approach bridges neural signal processing, adaptive control, and robotic locomotion, offering practical solutions for mobility assistance and autonomous navigation.