Zhenge Yang

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About

Zhenge Yang is pioneering the intersection of brain-computer interfaces (BCI) and multi-robot systems, with a focused mission to restore mobility and independence for individuals with disabilities. His core research centers on developing assistive control strategies that allow a single user to command multiple robots—such as a wheelchair and a companion manipulator—using only neural signals, bypassing the need for limb movement. Yang’s major contribution is the introduction of a brain-controlled multi-robot framework operating at the servo-control level, leveraging Nonlinear Model Predictive Control (NMPC) to ensure stable, safe, and responsive coordination. His 2022 paper on this topic, with 16 citations, demonstrates how a leader-follower formation strategy can enable a person with disabilities to navigate a wheelchair while directing a secondary robot for tasks like object retrieval. In related work, he proposed an assistive model-predictive controller to further enhance system reliability and user intent decoding. Though early in his career, Yang’s work is already shaping the future of shared autonomy, offering a scalable, brain-driven solution that could transform assistive robotics. His research stands at the forefront of human-robot interaction, promising a future where thought alone can command a team of machines.