Yichuan Jiang

Shenzhen University, Southeast University, Southern University of Science and Technology

Papers

Total Citations

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About

Yichuan Jiang is a researcher at the forefront of rehabilitation robotics and human-robot interaction, with a focus on integrating neural sensing and autonomous decision-making. His work spans two critical domains: developing brain-computer interfaces (BCI) for motor rehabilitation and designing risk-aware multirobot systems. In a 2024 study with 9 citations, Jiang demonstrated the within-session reliability of functional near-infrared spectroscopy (fNIRS) for neurofeedback in robot-assisted upper-limb training, paving the way for noninvasive, real-time brain monitoring in clinical settings. His 2022 work introduced a novel EEG-based paradigm to classify compound-limb movement intentions, advancing brain-controlled lower limb exoskeletons beyond passive rehabilitation. Beyond neural interfaces, Jiang’s 2021 paper on risk-aware collection strategies for multirobot foraging in hazardous environments (5 citations) addresses a critical gap in autonomous robotics, enabling robots to operate safely in disaster scenarios like earthquake rescue. By combining neurorehabilitation with multirobot coordination, Jiang’s research bridges human cognitive states and robotic autonomy, with his most-cited work laying groundwork for safer, more responsive assistive technologies. His contributions are shaping the future of intelligent rehabilitation and resilient robotic systems.