Papers

1

Total Citations

14

H-Index

1

About

Yuting Gong is a pioneering researcher in soft robotics and tactile sensing, with a focus on developing bio-inspired, flexible sensor systems for human-robot interaction. Their most-cited work, "Leather-based printed tactile sensor array for robotic interactive skin" (2024, 14 citations), introduces a novel approach to creating durable, skin-like tactile sensors using leather substrates and printed electronics. This innovation bridges the gap between traditional rigid sensors and the need for compliant, wearable interfaces, enabling robots to perceive touch with greater sensitivity and resilience. Gong’s contributions are particularly notable for integrating sustainable materials into robotic systems, advancing both functionality and environmental consciousness. Their research has implications for prosthetics, industrial automation, and human-robot collaboration, where safe, intuitive interaction is critical. With a growing citation impact, Gong is recognized for pushing the boundaries of sensor design, combining material science, fabrication techniques, and robotics to create practical, scalable solutions. Their work continues to inspire new directions in tactile sensing, positioning them as an emerging leader in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Leather-based printed tactile sensor array for robotic interactive skin
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Chongqing Institute of Green and Intelligent Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago