M
Ming-Yuan Cheng
Researcher at Agency for Science, Technology and Research
Publications - 69
Citations - 1291
Ming-Yuan Cheng is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Tactile sensor & Surface micromachining. The author has an hindex of 14, co-authored 65 publications receiving 1126 citations. Previous affiliations of Ming-Yuan Cheng include National Taiwan University.
Papers
More filters
Journal ArticleDOI
Flexible Temperature Sensor Array Based on a Graphite-Polydimethylsiloxane Composite
Wen-Pin Shih,Li Chi Tsao,Chian Wen Lee,Ming-Yuan Cheng,Chienliu Chang,Yao-Joe Yang,Kuang-Chao Fan +6 more
TL;DR: A novel method to fabricate temperature sensor arrays by dispensing a graphite-polydimethylsiloxane composite on flexible polyimide films and it was shown that graphite powder provided the composite high temperature sensitivity.
Journal ArticleDOI
An integrated flexible temperature and tactile sensing array using PI-copper films ☆
Yao-Joe Yang,Ming-Yuan Cheng,Wen-Wei Chang,L.-C. Tsao,S.-A. Yang,Wen-Pin Shih,F.-Y. Chang,Shuo-Hung Chang,Shuo-Hung Chang,Kuang-Chao Fan +9 more
TL;DR: In this article, a flexible 8 × 8 temperature and tactile sensing array is used as the artificial skin for robot applications. But the tactile sensing elements are formed by dispensing conductive polymer on the pre-defined interdigital copper electrodes.
Journal ArticleDOI
A Polymer-Based Capacitive Sensing Array for Normal and Shear Force Measurement
TL;DR: The proposed polymer-based capacitive sensing array is capable of measuring normal and shear forces, and can be easily realized by using micromachining techniques and flexible printed circuit board (FPCB) technologies.
Journal ArticleDOI
A flexible capacitive tactile sensing array with floating electrodes
TL;DR: In this article, a capacitive tactile sensing array realized by using MEMS fabrication techniques and flexible printed circuit board (FPCB) technologies is presented, which consists of two micromachined polydimethly-siloxane (PDMS) structures and a FPCB.
Journal ArticleDOI
A 100-Channel 1-mW Implantable Neural Recording IC
Xiaodan Zou,Lei Liu,Jia Hao Cheong,Lei Yao,Peng Li,Ming-Yuan Cheng,Wang Ling Goh,Ramamoorthy Rajkumar,Gavin S. Dawe,Kuang-Wei Cheng,Minkyu Je +10 more
TL;DR: A dual sample-and-hold architecture is proposed, which extends the sampling time of the ADC and reduces the average power per channel by more than 50% compared to the conventional multiplexing neural recording system.