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About

Jianwei Cui is a pioneering researcher at the intersection of robotics, neurorehabilitation, and brain–computer interfaces (BCIs), whose work is transforming how stroke patients regain motor function. His primary research areas include robot-aided rehabilitation, motor imagery EEG decoding, and autonomous navigation for field robots. Cui’s major contributions lie in designing EEG-modulated robotic systems that translate brain activity into real-time commands for upper-limb therapy, allowing patients to actively engage their motor intent during recovery. His 2015 paper on a robotic neurorehabilitation system combining BCI with robot assistance has garnered 14 citations, while his related work on an EEG-controlled robot system has received 11 citations, underscoring its influence in the field. He has also advanced search and rescue robotics with a terrain prediction and correction method for autonomous navigation (14 citations). Notably, Cui developed a real-time safety control strategy for rehabilitation robots using fuzzy logic, enhancing clinical safety and stability. His recent 2024 work on multimodal control for prosthetic hands, integrating visuo-tactile and arm motion measurement, signals a forward-looking commitment to restoring hand function for disabled individuals. Through these innovations, Cui is bridging neural engineering and practical robotics, offering new hope for personalized, technology-driven rehabilitation.