Zhe Dong

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About

Dr. Zhe Dong is a robotics researcher whose work centers on rehabilitation robotics, human-robot interaction, and digital twin simulation. His most influential contribution is the development of an "iterative assist-as-needed control with interaction factor" for rehabilitation robots (2021, 18 citations), a novel framework that intelligently adjusts robotic assistance based on a patient’s real-time performance, promoting motor recovery while preventing learned helplessness. This work has been foundational for researchers designing adaptive, patient-responsive therapy robots. More recently, Dr. Dong has pioneered the integration of digital twin technology with hardware-in-the-loop simulation for both mobile robots and robotic arms (2024, 3 and 2 citations respectively). These contributions address critical challenges in robotics testing—namely, high costs and low efficiency—by creating virtual replicas that mirror physical systems in real-time, enabling rapid, safe validation of control algorithms before deployment. By bridging the gap between simulation and reality, Dr. Dong’s research is shaping the future of cost-effective, high-fidelity robotic development, with clear applications in manufacturing, healthcare, and autonomous systems.