Lizheng Liu

Fudan University, Rensselaer Polytechnic Institute

Papers

Total Citations

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About

Lizheng Liu is a robotics researcher specializing in multi-agent systems, formation control, and autonomous navigation. Their work addresses critical challenges in coordinating robot swarms under real-world constraints, particularly limited sensor fields of view and communication bandwidth. Liu’s most cited paper (2023, 7 citations) introduces robust formation control algorithms for unicycle robots that operate solely with directional sensor information, eliminating the need for global positioning data—a breakthrough for GPS-denied environments. They further advanced the field with a streaming communication architecture inspired by fish flocking behavior (2024, 2 citations), enabling scalable leader-follower formations without visual feedback. In applied robotics, Liu developed a UAV-based machine vision algorithm for industrial gauge detection and display reading (2020, 3 citations), demonstrating practical deployment of autonomous inspection systems. Their work bridges theoretical control theory and real-world implementation, with contributions to non-visual coordination, sensor-constrained formation stability, and aerial robotics for industrial monitoring. Liu’s research is particularly relevant for students and engineers working on multi-robot systems, swarm intelligence, and autonomous inspection in infrastructure or manufacturing settings.