Max Robotics — Global Service Robot Directory + US Certification

About

Lee Chung Kwek is a robotics researcher whose work spans over two decades, with expertise in robotic manipulation, intelligent control systems, and machine learning applications in robotics. His research career traces a compelling arc from foundational work in biped robot control to cutting-edge deep learning approaches for robotic grasping and manipulation. His most influential contribution, a comprehensive review on robotic reaching and grasping (2021, 78 citations), has become a key reference in the field, synthesizing the complex interplay between perception, decision-making, and end-effector control. This, alongside his review of learning-based robotic manipulation in cluttered environments (2022, 39 citations), establishes him as an authoritative voice in understanding how robots intelligently interact with unstructured surroundings. Kwek's earlier work on active force control and iterative learning in biped robots (2003, 41 citations) demonstrated lasting influence in intelligent locomotion control. More recently, he has advanced deep reinforcement learning techniques for pick-and-place tasks and grasping under occlusion, addressing real-world challenges in cluttered scenes. His ongoing research into ANFIS-based controllers and SCARA trajectory tracking reflects a sustained commitment to bridging classical control theory with modern intelligent systems, making his body of work valuable for both foundational learners and advanced robotics researchers.