Weiming Chi

Papers

Total Citations

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About

Weiming Chi is at the forefront of assistive robotics, pioneering brain-controlled multi-robot systems to restore mobility and independence for people with disabilities. His research uniquely integrates brain-computer interfaces (BCI) with advanced control theory, specifically nonlinear and model predictive control (MPC), to enable intuitive, cooperative control of multiple robots. Chi’s major contribution is moving beyond single-robot BCI control to develop leader-follower formations and servo-level coordination, allowing a single user to command a team of robots—such as a wheelchair and a companion robot—through thought alone. His most cited work, "Brain-Controlled Multi-Robot at Servo-Control Level Based on Nonlinear Model Predictive Control" (2022, 16 citations), demonstrates this paradigm shift, while his 2020 paper on leader-follower formation (8 citations) established the foundational framework. Chi’s assistive control strategies (2021) further enhance safety and task efficiency. By tackling the complexity of multi-agent BCI systems, he is creating scalable, practical solutions that could transform daily living for individuals with severe motor impairments.