Tiankai Yang

Huzhou University, State Key Laboratory of Industrial Control Technology

Papers

Total Citations

635

H-Index

About

Tiankai Yang is a leading robotics researcher specializing in autonomous aerial systems, multi-robot coordination, and agile flight in cluttered environments. His most impactful work, "Swarm of micro flying robots in the wild" (539 citations), demonstrates the first successful deployment of drone swarms in dense, GPS-denied forests—solving the critical challenge of navigating narrow corridors while maintaining swarm cohesion in unknown terrain. Yang also developed the Meeting-Merging-Mission framework (60 citations), a pioneering multi-robot coordination system that enables large-scale exploration under severe communication constraints, using lightweight environment representations and efficient cooperative strategies. His work on "Real-Time Trajectory Planning for Aerial Perching" (36 citations) advances drone agility by enabling adaptive terminal states and trajectory durations, minimizing impact velocity for precise perching maneuvers. Yang's contributions bridge the gap between theoretical swarm intelligence and real-world deployment, addressing fundamental limitations in communication, perception, and dynamic planning. His research has profound implications for search-and-rescue, environmental monitoring, and infrastructure inspection in previously inaccessible environments. By pushing the boundaries of what autonomous aerial swarms can achieve in the wild, Yang is shaping the future of field robotics.