Yongqi Shi

Beihang University

Papers

2

Total Citations

10

H-Index

2

About

Yongqi Shi is a rising researcher at the intersection of soft robotics, biomechanics, and intelligent systems, with a focus on how physical intelligence—the inherent capability of a body to process information and adapt—can revolutionize robotic design. His most cited work introduces a **millimeter-scale soft sensor** with an origami-inspired self-folding parallel mechanism, a breakthrough that addresses a critical gap in soft robotics: the ability to measure multi-axis forces at tiny scales. This miniature sensor, which has garnered 8 citations since 2022, enables unprecedented proprioception for small, flexible robots, advancing their perception and control. In parallel, Shi’s work on **physical intelligence in biomechanics** (2 citations) explores how biological agents leverage their bodies’ mechanical properties for intelligent behavior, offering a framework for designing bio-inspired robots that are more adaptive and efficient. By bridging the gap between neural and physical intelligence, Shi is laying the groundwork for next-generation autonomous systems that can sense, think, and act in complex environments. His contributions are particularly notable for their potential in medical devices, micro-robotics, and human-machine interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Miniature Soft Sensor with Origami-Inspired Self-Folding Parallel Mechanism
8 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Beihang University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago