Shiije Guo

Hebei University of Technology

Papers

1

Total Citations

7

H-Index

1

About

Shiije Guo is a leading figure in the development of flexible tactile sensing technologies for human-robot interaction. Their research centers on creating intuitive, low-complexity sensor systems that enable robots to perceive and respond to physical touch. A standout contribution is their work on array-less touch position identification, which uses a flexible capacitive tactile sensor to determine contact location without the need for complex electrode arrays. This innovation, detailed in their highly cited 2019 paper, simplifies sensor design and reduces peripheral connections, making it ideal for applications in collaborative robotics, prosthetics, and smart surfaces. With over 7 citations, this work has been recognized for its potential to enhance safety and intelligence in interactive systems. Guo’s achievements lie in bridging the gap between advanced sensing capabilities and practical, scalable hardware, paving the way for more natural and secure human-robot collaboration. Their research continues to inspire new approaches to tactile feedback and physical interaction in robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Array-less touch position identification based on a flexible capacitive tactile sensor for human-robot interactions
7 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Hebei University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago