Chee Gen Moo

Singapore University of Technology and Design

Papers

Total Citations

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About

Dr. Chee Gen Moo is a robotics researcher whose work focuses on autonomous systems, reconfigurable robotics, and intelligent path planning. He is best known for his contributions to the design and control of robots that can adapt their physical configuration to perform diverse tasks, particularly in high-risk environments. His most cited paper, "Design of a Reconfigurable Wall Disinfection Robot" (2021, 13 citations), addresses the urgent need for autonomous disinfection during the COVID-19 pandemic, presenting a robot capable of sanitizing contaminated surfaces in public spaces like airports and hospitals. This work highlights his commitment to applying robotics to real-world public health challenges. Dr. Moo has also advanced the theoretical foundations of reconfigurable robotics through his 2024 paper on an "Enabling Framework for Constant Complexity Model in Autonomous Inter-Reconfigurable Robots," which tackles the computational complexity of inter-reconfiguration—a key hurdle for scalable autonomous systems. Additionally, his research on "Inter-Reconfigurable Robot Path Planner for Double-Pass Complete Coverage Problem" (2024) addresses optimization challenges in multi-robot area coverage, demonstrating his expertise in algorithmic efficiency. With a growing citation impact, Dr. Moo is establishing himself as a rising figure in autonomous robotics, bridging practical applications with foundational theory.