C
Chunkai Wang
Researcher at Chinese Academy of Sciences
Publications - 9
Citations - 185
Chunkai Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Tactile sensor & Piezoresistive effect. The author has an hindex of 4, co-authored 8 publications receiving 87 citations. Previous affiliations of Chunkai Wang include National Institute of Standards and Technology.
Papers
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Journal ArticleDOI
Flexible Tactile Electronic Skin Sensor with 3D Force Detection Based on Porous CNTs/PDMS Nanocomposites
Xuguang Sun,Jianhai Sun,Tong Li,Shuaikang Zheng,Chunkai Wang,Wenshuo Tan,Jingong Zhang,Chang Liu,Ma Tianjun,Zhimei Qi,Chunxiu Liu,Ning Xue +11 more
TL;DR: Three-dimensional (3D) force tactile electronic skin sensor based on CNTs/PDMS nanocomposite with novel double-side rough porous structure exhibited high sensitivity, good consistency and fast response, indicating the capacities in intelligent robot applications.
Journal ArticleDOI
A highly-sensitive flexible tactile sensor array utilizing piezoresistive carbon nanotube–polydimethylsiloxane composite
TL;DR: In this paper, a 6 × 8 flexible piezoresistive tactile sensor array composed of a multi-walled carbon nanotube (MWCNT) and polydimethylsiloxane (PDMS) composite is presented.
Journal ArticleDOI
A Sensitive Piezoresistive Tactile Sensor Combining Two Microstructures.
Xuguang Sun,Jianhai Sun,Shuaikang Zheng,Chunkai Wang,Wenshuo Tan,Jingong Zhang,Chunxiu Liu,Chang Liu,Tong Li,Zhimei Qi,Ning Xue +10 more
TL;DR: A highly sensitive flexible tactile sensor composed of nanocomposites with pyramid and irregularly rough microstructures with varying weight proportions of multi-wall nanotubes and carbon black particles is proposed and a comparison of piezoresistive properties of nanoplastic properties is implemented to demonstrate the potential for applications in electronic skin, human–computer interaction, and physiological detection.
Journal ArticleDOI
A Self-Supervised Learning Manipulator Grasping Approach Based on Instance Segmentation
TL;DR: A grasping approach based on instance segmentation and self-supervised learning pose estimation network is proposed to grasp objects with the manipulator to improve the stability and accuracy of grasping in a novel and occlusion environment.
Patent
Flexible tactile sensor array and array scanning system applied to same
TL;DR: In this article, a flexible tactile sensor array and an array scanning system are presented, which consists of a projection layer, an upper electrode layer, a middle layer and an alower electrode layer.