Tingting Li

Papers

1

Total Citations

8

H-Index

1

About

Tingting Li is a leading researcher in the field of intelligent sensing and human-machine interaction, with a primary focus on tactile sensor design and vision-based perception systems. Her most-cited work, "Design, Optimization and Application of Tactile Sensor Based on Virtual Binocular Vision" (2022), has garnered 8 citations and represents a significant contribution to the development of biomimetic tactile sensing technologies. By integrating virtual binocular vision principles into tactile sensor design, Li has pioneered novel approaches that enhance the accuracy and efficiency of tactile data acquisition, enabling more natural and intuitive interactions between humans and machines. This work has potential applications in robotics, prosthetics, and virtual reality systems, where precise tactile feedback is critical. Li’s research addresses key challenges in sensor optimization, including miniaturization and real-time processing, making her contributions valuable for both academic and industrial advancements. Her achievements highlight her role in advancing the intersection of computer vision and tactile sensing, offering innovative solutions that push the boundaries of how machines perceive and interact with their environment.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Design, Optimization and Application of Tactile Sensor Based on Virtual Binocular Vision
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago