Pei Song Chee
Papers
3
Total Citations
59
H-Index
3
About
Pei Song Chee is a leading researcher at the intersection of soft robotics, wearable electronics, and self-powered sensing systems. His work focuses on overcoming the limitations of traditional rigid devices by developing highly compliant, muscle-alike materials that integrate artificial intelligence for intelligent control. Chee’s major contributions include the creation of an AI-assisted, self-powered smart robotic gripper based on Eco-EGaIn nanocomposites, which addresses critical challenges in pick-and-place operations by providing real-time feedback on grasping speed and contact force—a solution that has garnered 31 citations. He also pioneered an AI-driven smart glove for object recognition (21 citations) and developed a stretchable, self-powered sensor for wearable electronics (7 citations), eliminating the need for external power sources. Chee’s work is notable for its practical impact on robotics, healthcare monitoring, and body motion tracking, with his innovations paving the way for more intuitive and autonomous human-machine interfaces. His research exemplifies how combining soft materials with machine learning can create responsive, energy-efficient systems that mimic natural biological functions.
Research Focus
Key Achievements
Top Papers
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