Zhihao Liu

Harbin Institute of Technology, Tongji University

Papers

Total Citations

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About

Zhihao Liu is an emerging researcher specializing in robotics, autonomous systems, and intelligent control, with a focus on advancing multi-robot coordination and autonomous navigation. His work bridges theoretical control frameworks with practical robotic applications, positioning him at the intersection of control systems engineering and artificial intelligence. Liu's most notable contribution to date is his 2024 paper on robust multi-mobile robot formation control, which has garnered 6 citations since publication. In this work, he leverages Fully Actuated System (FAS) theory to develop a sophisticated leader-follower formation control law that demonstrates resilience under real-world disturbances — a critical challenge in deploying multi-robot systems in dynamic environments. This approach offers a rigorous mathematical foundation for reliable multi-robot coordination. Complementing this, his research on Active SLAM using deep reinforcement learning (DRL) driven by intrinsic rewards explores how autonomous agents can make intelligent goal-selection decisions using 2D LiDAR data. This work addresses fundamental limitations in traditional SLAM pipelines by incorporating learning-based decision-making, advancing the state of autonomous mapping in industrial and service robotics. Though early in his career, Liu's contributions signal promising expertise in intelligent autonomous systems that will likely grow in influence as robotics applications continue to expand.