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About

Bailing Tian is a leading researcher in multi-robot systems, autonomous navigation, and nonlinear control, whose work bridges theoretical rigor and real-world deployment. His most impactful contribution is a distributed pursuit algorithm for multiple robots cooperatively capturing an evader while guaranteeing collision and obstacle avoidance—a foundational result with 59 citations that addresses a core challenge in swarm robotics. Tian also pioneered "You Only Plan Once" (2024), a learning-based one-stage planner that integrates perception, mapping, and trajectory generation into a single network for quadrotor flight in cluttered environments, eliminating the need for explicit maps. His earlier fixed-time stabilization framework for second-order uncertain multivariable nonlinear systems (2016) provides robust control guarantees for complex dynamics. Beyond these, Tian has advanced real-time lidar-inertial odometry and distributed multi-robot task allocation using weighted buffered Voronoi partitions, enabling efficient coordination under time constraints. With over 100 total citations and a growing portfolio of high-impact work, Tian is shaping the future of autonomous, cooperative robotics—offering both elegant theory and practical algorithms that students and researchers can build upon.