Papers
7
Total Citations
115
H-Index
6
About
Yifeng Niu is a leading researcher in the field of multi-robot systems and unmanned aerial vehicle (UAV) cooperation, with a focus on swarm intelligence and human-robot teaming. His work addresses critical challenges in autonomous navigation and collaborative control, particularly for robot swarms operating in GNSS-denied environments. Niu’s most influential paper, “A Survey of Robot Swarms’ Relative Localization Method” (2022, 46 citations), provides a comprehensive framework for accurate positioning in swarm applications, essential for collision avoidance and formation control. He has also made significant contributions to UAV obstacle avoidance using depth cameras (2017, 27 citations), enabling safer autonomous flight. Notably, his research on unmanned-manned aircraft systems (2019, 15 citations) and mixed-initiative teamwork using Coactive Design and Graph Neural Networks (2020, 10 citations) has advanced the integration of human operators with autonomous systems. Niu’s work on LTL-based motion planning (2016) and UWB positioning methods (2022) further demonstrates his versatility in developing formal, reliable control strategies. With a career spanning over a decade, his research has been supported by the National Natural Science Foundation of China, and his innovations continue to shape the future of cooperative robotics and human-autonomy collaboration.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Robot Swarms’ Relative Localization Method46 citations · 2022
- 2Obstacle avoidance methods for rotor UAVs using RealSense camera27 citations · 2017
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