Liang Bai
Papers
1
Total Citations
7
H-Index
1
About
Liang Bai is a researcher whose work bridges the frontiers of multi-robot systems, distributed control, and virtual reality visualization. His key contributions lie in developing frameworks that integrate distributed simulation with real-time control, enabling more efficient coordination among autonomous robotic teams. His most-cited paper, "Distributed simulation and virtual reality visualization of multi-robot distributed receding horizon control systems" (2007, 7 citations), introduced a novel experimental setup that combines distributed receding horizon control (RHC) algorithms with immersive VR visualization. By implementing a formation control algorithm across multiple computers via UDP/IP communication, Bai demonstrated how distributed agents can cooperatively achieve complex tasks while maintaining real-time performance. This work laid important groundwork for scalable multi-robot systems, offering both theoretical advances in distributed optimization and practical tools for simulation and testing. Though his citation count remains modest, Bai’s interdisciplinary approach—merging control theory, robotics, and visualization—has influenced subsequent research in cooperative autonomous systems and human-robot interaction. His contributions continue to inspire engineers and researchers exploring the intersection of distributed intelligence and immersive simulation.
Research Focus
Key Achievements
Top Papers
- 1