Jingyuan Chen

Papers

Total Citations

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About

Dr. Jingyuan Chen is a leading researcher in assistive robotics and intelligent rehabilitation systems, with a focus on developing smart mobility aids for aging populations. Their most cited work, the "ROS-Based Smart Walker with Fuzzy Posture Judgement and Power Assistance" (2021, 14 citations), introduces a groundbreaking robotic walker that integrates fuzzy logic algorithms to assess user posture in real-time and provide adaptive power assistance. This innovation directly addresses critical challenges faced by elderly individuals—such as unstable gait, limb weakness, and fall prevention—by combining robotic operating system (ROS) architecture with intelligent control systems. Dr. Chen’s contributions have significantly advanced the field of human-robot interaction for geriatric care, offering a practical solution to enhance mobility and safety. Their research bridges mechanical engineering, artificial intelligence, and clinical rehabilitation, demonstrating how smart walkers can dynamically respond to user needs. With growing global aging demographics, Dr. Chen’s work holds profound implications for reducing fall-related injuries and improving quality of life, positioning them as a key innovator in assistive technology.