Zewu Jiang
Papers
3
Total Citations
45
H-Index
2
About
Zewu Jiang is a pioneering researcher at the intersection of rehabilitation robotics and intelligent multirobot systems, whose work is transforming both neurorehabilitation and autonomous robotic coordination. His most impactful contribution lies in developing robot-assisted task-oriented training for stroke survivors, where he introduced human-robot collaborative interaction force control technology. In a landmark 2021 study (31 citations), Jiang demonstrated that this approach significantly improves upper limb function in stroke patients—a critical advancement given that stroke is a leading cause of acquired disability worldwide. He further advanced the field by customizing passive neurorehabilitation exercises using a teaching-training mechanism (12 citations), enabling robots to replicate therapist-guided movements for early-stage or severely paralyzed patients. Beyond rehabilitation, Jiang has ventured into multirobot motion planning, proposing a novel reinforcement learning framework that structures action spaces for efficient exploration in complex tasks like collaborative assembly (2025, 2 citations). His work bridges the gap between clinical rehabilitation needs and cutting-edge robotics, offering scalable solutions for both human recovery and autonomous multirobot operations. Jiang’s research is essential reading for engineers and clinicians seeking to integrate intelligent robotics into healthcare and industrial automation.
Research Focus
Key Achievements
Top Papers
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