About

Chee-Meng Chew is a robotics researcher whose work spans bipedal locomotion, bio-inspired robotics, and motion control — fields in which he has made lasting contributions over more than two decades. He is perhaps best known for his foundational work on Virtual Model Control, a motion control framework that employs virtual components to intuitively generate desired forces in robotic systems. His 2001 paper applying this framework to planar bipedal robots has accumulated over 550 citations, establishing it as a landmark reference in legged robotics. Building on this foundation, Chew extended his bipedal research to incorporate reinforcement learning, slope traversal, and 3D pattern generation for stairs and uneven terrain, collectively demonstrating a comprehensive vision for robust, adaptable walking machines. His research interests also reach into biomechanics, including modeling force and impedance in human arm movements, and computational geometry, with a notable algorithm for computing point-to-convex-cone distances in n-dimensional space. In recent years, Chew has turned toward aquatic bio-inspired robotics, leading development of a frog-inspired swimming robot using dielectric elastomer actuators and investigating manta ray-inspired propulsion mechanisms for underwater vehicles. His diverse yet coherent body of work reflects a deep commitment to bridging biological inspiration with practical robotic implementation.

Research Focus

Key Achievements

18
H-Index
73
Papers
1,714
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Model Control: An Intuitive Approach for Bipedal Locomotion
550 citations · 2001
📈 Most Prolific Year: 2013 (10 Papers)
🤝 Key Collaborators: 103
🏛 Institutions: National University of Singapore, MIT Lincoln Laboratory, Massachusetts Institute of Technology, Universities UK, Kazimierz Pułaski University of Technology and Humanities in Radom

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago