Xiaoxiao Shi

Beijing University of Chemical Technology

Papers

2

Total Citations

17

H-Index

2

About

Xiaoxiao Shi is a leading researcher in the field of tactile sensing and intelligent robotics, with a focus on developing high-resolution, vision-based tactile sensors that mimic the complexity of human touch. Their major contributions include the design of innovative sensing systems that integrate micropillar arrays with image sensors, enabling high-density force and temperature detection. Notably, Shi’s 2021 work on a "High‐Density Force and Temperature Sensing Skin Using Micropillar Array with Image Sensor" has garnered 10 citations, showcasing its impact on advancing tactile intelligence. In 2022, they introduced a "Vision-Based High-Resolution Tactile Sensor By Using Visual Light Ring," which enhances sensitivity through circular array LEDs, earning 7 citations. These achievements are pivotal for creating more agile and intelligent robotic systems, bridging the gap between artificial and human sensory capabilities. Shi’s work is widely recognized for its potential to revolutionize applications in prosthetics, human-machine interfaces, and soft robotics, making them a key figure in the evolution of tactile sensing technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
High‐Density Force and Temperature Sensing Skin Using Micropillar Array with Image Sensor
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing University of Chemical Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago