Yongchuan Tang

Zhejiang University of Science and Technology

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About

Yongchuan Tang is a leading researcher in assistive robotics and human-robot interaction, with a primary focus on developing adaptive control strategies for lower limb exoskeletons. His most influential work, "Adaptive CPG-Based Impedance Control for Assistive Lower Limb Exoskeleton" (2018, 22 citations), introduces a groundbreaking approach that leverages central pattern generators (CPGs)—biologically inspired neural circuits—to enable exoskeletons to dynamically adapt to a user's unique impedance properties, rather than relying on rigid, predefined joint trajectories. This innovation addresses a critical limitation in assistive exoskeleton design, where most systems fail to personalize assistance in real time. By integrating CPG-based control with impedance modulation, Tang's work bridges principles from humanoid locomotion robotics and rehabilitation engineering, offering a more natural, responsive, and user-friendly experience for individuals with mobility impairments. His contributions have significant implications for advancing wearable robotic technologies, enhancing gait rehabilitation, and improving quality of life for patients with lower limb disabilities. Tang's research continues to inspire new directions in adaptive, bio-inspired control systems for assistive devices.