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About

C.S. George Lee is a pioneering roboticist whose research lies at the intersection of humanoid locomotion, bio-inspired swarm intelligence, and networked robotic systems. His major contributions include the introduction of the **Feasible Center of Mass Dynamic Manipulability (FCDM)** — a novel metric for quantifying a humanoid robot’s capacity to regulate its center of mass during locomotion, directly linking posture and joint dynamics to stability (18 citations). In swarm robotics, Lee developed **energy-time-efficient adaptive dispatching algorithms** for ant-like robots, enabling coverage of unmapped regions with minimal sensor and power resources (16 citations). He also advanced mobile sensor networks by formulating **distributed saddle-point computation** to maximize network lifetime through optimal mobility strategies (5 citations). Most recently, Lee has pioneered **behavior-tree embeddings**, a vector-space representation that allows robots to efficiently reuse and transfer task-level knowledge, reducing the tedium of manual behavior-tree design (4 citations). His work consistently bridges theoretical rigor with practical, resource-constrained applications, making him a key figure in making robots more autonomous, stable, and intelligent.