Papers
12
Total Citations
190
H-Index
8
About
Jinhua Ye is a leading researcher in tactile sensing and human-robot interaction, with key contributions spanning flexible electronic skin, collision detection, and dual-robot cooperative systems. Their work has garnered over 180 citations, with several papers achieving 41 citations each. Ye pioneered the development of large-area, stretchable textile-based tactile sensors that simultaneously detect contact position and force, addressing the critical challenge of wiring complexity in sensor arrays. Their innovative use of Electrical Impedance Tomography (EIT) for flexible tactile sensors represents a significant breakthrough, enabling double-sensitive-layer structures that convert collision information into measurable data. Ye also developed cone-shaped electrode capacitive sensors that maintain high sensitivity across broad linearity ranges, overcoming a fundamental limitation in pressure sensing. Notable achievements include a virtual sensor system for collision detection and distinction in conventional industrial robots, enhancing human safety during physical interaction. Their recent work on MomentumNet-CD combines momentum observers with optimized neural networks for real-time collision detection, demonstrating Ye's continued leadership in advancing robot skin technology and safe human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1A Piezoresistive Tactile Sensor for a Large Area Employing Neural Network41 citations · 2018
- 2A Large‐Area, Stretchable, Textile‐Based Tactile Sensor41 citations · 2020
- 3New Flexible Tactile Sensor Based on Electrical Impedance Tomography29 citations · 2022
- 4Trajectory Planning of Dual-Robot Cooperative Assembly21 citations · 2022
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- 8A new robot skin for force and position detection8 citations · 2014
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