Xinde Cao

Shanghai Jiao Tong University

Papers

2

Total Citations

9

H-Index

2

About

Xinde Cao is a pioneering researcher at the intersection of robotics and RFID-based sensing, with a primary focus on enabling miniature robots to perform precise, agile tasks in unstructured environments. His major contributions center on the development of TiSee, an innovative passive eye-in-hand “camera” system that leverages ultra-high frequency (UHF) RFID technology to provide sub-centimeter-level localization and orientation identification using only a single, arbitrarily deployed antenna. This breakthrough eliminates the need for bulky, power-hungry sensors, allowing tiny robots to achieve unprecedented spatial awareness. Cao’s work, published in top venues in 2022 and 2024, has garnered growing attention, with his most-cited paper accumulating 6 citations and his follow-up work reaching 3 citations—a strong start for a young field. Notably, TiSee’s ability to function in everyday environments without complex infrastructure marks a significant step toward practical, low-cost robotic perception. Cao’s research promises to revolutionize applications from search-and-rescue to precision manufacturing, offering a scalable solution for embedding intelligence into the smallest robotic platforms.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Passive Eye-in-Hand "Camera" for Miniature Robots
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago