Papers

11

Total Citations

577

H-Index

9

About

Ming-Yuan Cheng is a pioneering researcher in flexible sensing systems and robotic artificial skin technologies, whose work has significantly advanced the field of human-robot interaction and tactile sensing. With a career spanning microelectromechanical systems (MEMS) and flexible electronics, Cheng has focused primarily on developing innovative sensor arrays that mimic human skin's ability to perceive both temperature and tactile stimuli. His most influential contribution, a graphite-polydimethylsiloxane composite-based flexible temperature sensor array (2010, 223 citations), demonstrated a breakthrough fabrication method enabling 64 sensing cells within a compact 4×4 cm² area, opening new possibilities for humanoid robotics. Building upon this foundation, his 2007 integrated temperature and tactile sensing array using PI-copper films (164 citations) established a foundational framework that he refined through subsequent high-density 32×32 array architectures. Notably, Cheng also addressed critical engineering challenges around durability, developing highly twistable spiral electrode designs capable of conforming to complex robotic surfaces without signal degradation. Beyond robotics, his research portfolio extends into medical applications, including minimally invasive surgical approaches for pancreatic cancer patients. Across his career, Cheng's cumulative citation impact underscores his lasting influence on flexible electronics, wearable sensing systems, and the broader pursuit of intelligent artificial skin technologies.

Research Focus

Key Achievements

9
H-Index
11
Papers
577
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Flexible Temperature Sensor Array Based on a Graphite-Polydimethylsiloxane Composite
223 citations · 2010
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: National Taiwan University, The University of Texas Southwestern Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago