Papers
9
Total Citations
171
H-Index
6
About
Yuyi Liu is a pioneering researcher at the intersection of multirotor UAV control and human-robot interaction, whose work bridges technical robustness with social intelligence. Liu’s early contributions established foundational methods in distributed formation control for multirotor UAVs—a 2018 paper (65 citations) experimentally verified an algorithm enabling simultaneous formation balancing and maneuvering, while a 2017 work (46 citations) developed robust nonlinear control for quadrotor obstacle avoidance under disturbances. More recently, Liu has shifted focus to the critical challenge of integrating robots into public spaces, fighting the “trivialization” of social robots. A 2022 paper (22 citations) explores how robots in authoritative roles—like security or guidance—can avoid being ignored. Liu’s field trials are particularly notable: an autonomous shopworker robot (2024, 7 citations) that encourages customers through friendly social pressure, and a queue-managing security guard robot (2024) tested at a real public event. Other work introduces human-inspired motion planning for omni-directional robots (2021, 16 citations) and suggestive avoidance behaviors (2024, 6 citations) to deter obstruction. With over 170 total citations, Liu’s research uniquely combines rigorous control theory with nuanced social robotics, offering practical, human-aware solutions for autonomous systems in everyday environments.
Research Focus
Key Achievements
Top Papers
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- 4Human-inspired Motion Planning for Omni-directional Social Robots16 citations · 2021
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- 8Field Trial of a Queue-Managing Security Guard Robot2 citations · 2024
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