Zhaojin Liu
Papers
9
Total Citations
73
H-Index
5
About
Zhaojin Liu is a leading roboticist whose research focuses on bio-inspired legged locomotion, amphibious robotics, and specialized inspection systems for critical infrastructure. Liu’s work bridges the gap between biological principles and practical engineering, with major contributions in designing and controlling robots that operate in challenging environments—from underwater structures to nuclear power plants. Notably, Liu developed an amphibious bionic legged robot (26 citations) and a crab-like robot inspired by the *Portunus trituberculatus*, advancing both mechanical design and motion performance analysis. In reinforcement learning, Liu introduced the Curricular Hindsight Reinforcement Learning (CHRL) framework, enabling agile maneuvers like fall recovery and sprinting in quadruped robots (8 citations), and the Distributional Ensemble Actor-Critic method for robust sim-to-real transfer (14 citations). A standout achievement is the SG-Climbot, a quadruped robot for inspecting steam generator heat transfer tubes in nuclear facilities, addressing critical safety needs. With over 70 total citations and multiple 2024 publications, Liu’s work is shaping the future of adaptive, resilient robots for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Optimal design and implementation of an amphibious bionic legged robot26 citations · 2023
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- 3Motion planning for a quadruped robot in heat transfer tube inspection9 citations · 2024
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- 8Localized Coverage Planning for a Heat Transfer Tube Inspection Robot2 citations · 2025
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