Yuanchang Liu
Papers
11
Total Citations
302
H-Index
7
About
Dr. Yuanchang Liu is a leading researcher at the intersection of aerial, surface, and underwater robotics, with a focus on autonomous systems and intelligent control. His work spans grasping and perching capabilities for aerial robots, deep reinforcement learning for unmanned surface vehicle (USV) formations, and soft robotics stiffness modeling using Lie theory. Dr. Liu’s major contributions include developing adaptive control frameworks for multi-robot task allocation, as demonstrated in his highly cited 2021 paper on USV formation control (64 citations), and pioneering BIM-based motion planning for robotic assembly of COVID-19 hospitalization structures (54 citations). His research has garnered over 300 citations, with notable works like the comprehensive review on aerial robot grasping (78 citations) and the ShipGAN simulation-to-real image translation system (19 citations). Dr. Liu’s innovative use of Gaussian process motion planning for fully autonomous USVs and generative adversarial networks for maritime perception has advanced real-world deployment of autonomous systems. His recent work on event-driven camera processing and underwater robotic simulators further underscores his commitment to pushing the boundaries of robotic autonomy in complex environments.
Research Focus
Key Achievements
Top Papers
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- 8Underwater Robotic Simulators Review for Autonomous System Development5 citations · 2025
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