Chenggang Bai
Papers
8
Total Citations
105
H-Index
5
About
Chenggang Bai is an emerging researcher specializing in multi-robot systems, swarm robotics, and distributed control, with a particular focus on navigating robotic swarms through complex, cluttered environments. His most significant contribution is the development of the **curve virtual tube** framework — an innovative geometric construct that guides robotic swarms safely through narrow, corridor-like spaces while maintaining collision-free separation between agents. This foundational work, which has garnered over 40 citations since 2023, has spawned a productive research program addressing increasingly realistic constraints, including self-localization drift, field-of-view limitations, speed restrictions, and internal obstacles within trapezoid virtual tube configurations. Bai has also made notable methodological contributions through his non-potential orthogonal vector field approach to robot navigation, cited 31 times, offering a more computationally efficient alternative to classical potential field methods. His comprehensive survey on passing-through control of multi-robot systems further demonstrates his commitment to synthesizing and advancing this specialized field. Across his body of work, accumulating over 100 total citations, Bai has established himself as a focused and productive voice in distributed swarm control, steadily expanding the theoretical and practical boundaries of coordinated multi-robot navigation.
Research Focus
Key Achievements
Top Papers
- 1Distributed control for a robotic swarm to pass through a curve virtual tube40 citations · 2023
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