Yeng Ming Lam
Papers
3
Total Citations
51
H-Index
2
About
Yeng Ming Lam is a leading researcher in the field of soft robotics and intelligent materials, with a focus on developing bioinspired artificial muscles and self-sensing actuators. Her work bridges materials science and engineering to create responsive systems that mimic biological neuromuscular function. Among her most cited contributions is the development of artificial muscles based on coiled conductive polymer yarns (2024, 30 citations), which achieve large strain and stress outputs—a critical step toward lightweight, high-performance actuators for robotics, prosthetics, and exoskeletons. She has also advanced thermal-sensing actuators using conductive polymer ionogels (2023, 19 citations), enabling autonomous human-machine interaction through integrated sensing and actuation. More recently, her bioinspired artificial neuromuscular systems (2025, 2 citations) incorporate self-sensing liquid crystal elastomer actuators with thermoelectric fibers for closed-loop control, demonstrating a sophisticated integration of sensing, actuation, and feedback. With a growing citation impact and a clear trajectory toward practical, intelligent soft robots, Lam’s work is shaping the future of adaptive, lifelike machines.
Research Focus
Key Achievements
Top Papers
- 1Artificial Muscles Based on Coiled Conductive Polymer Yarns30 citations · 2024
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