Hongxing Bai

Papers

Total Citations

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About

Dr. Hongxing Bai is a robotics researcher whose work focuses on multi-robot coordination and motion planning, with a particular emphasis on collision avoidance in shared workspaces. His most cited paper, "Multi-robot Path Planning and Trajectory Smoothing" (2020, 13 citations), addresses a fundamental challenge in cooperative robotics: generating safe, efficient trajectories for multiple robots operating simultaneously without interference. In this work, Bai proposes methods for detecting and resolving potential collisions between robots moving toward distinct goal positions, while also ensuring trajectory smoothness for practical implementation. This contribution is critical for applications ranging from warehouse automation to manufacturing, where multiple robots must navigate crowded environments without compromising safety or efficiency. Though his citation count is still developing, Bai's research represents an important step toward scalable multi-robot systems. His work contributes to the broader field of autonomous navigation, where the ability to coordinate multiple agents in real-time remains a key technical hurdle. For students and researchers interested in multi-agent systems, Bai's approach to trajectory smoothing and collision avoidance offers a practical foundation for further exploration.