Meng Guo

Papers

Total Citations

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About

Meng Guo is an emerging robotics researcher whose work sits at the intersection of autonomous manipulation, human-robot collaboration, and formal methods for robot safety and task planning. His research focuses on enabling robots to operate reliably in complex, real-world environments — particularly mobile manipulators performing intricate assembly and pick-and-place tasks. A notable recent contribution is his 2025 framework for robust visual servoing under human supervision, which combines eye-in-hand visual servoing controllers with Control Barrier Functions (CBFs) to guarantee safety constraints during object tracking and manipulation. This work addresses a critical challenge in practical robotics: maintaining reliable performance when deploying autonomous systems in unstructured settings where human oversight remains essential. By integrating formal safety guarantees directly into the visual control loop, Guo's approach bridges the gap between theoretical robustness and deployable robot autonomy. Though early in accumulating citations, with his 2025 work already garnering 3 citations shortly after publication, his research addresses timely and high-impact problems in construction automation and intelligent assembly, positioning him as a promising contributor to the next generation of safe, human-collaborative robotic systems.