Junhao Shi

Shenzhen University, Sun Yat-sen University

Papers

2

Total Citations

28

H-Index

2

About

Junhao Shi is pioneering the next generation of soft robotics through the innovative use of tensegrity structures—a field where he has rapidly established himself as a leading voice. His research focuses on creating robots that can seamlessly transition between rigid and soft states, addressing a fundamental limitation in current soft robotics. Shi’s most impactful work, "In Situ Reconfigurable Continuum Robot with Varying Curvature Enabled by Programmable Tensegrity Building Blocks" (2023, 18 citations), introduces a paradigm shift by enabling robots to reconfigure their shape and stiffness in real-time, eliminating the need for time-consuming manual module adjustments. This breakthrough allows for programmable interaction with complex environments. Expanding on this, his 2025 paper on "Bio-Inspired Tensegrity Building Block With Anisotropic Stiffness" (10 citations) tackles the core contradiction between rigidity and softness, creating building blocks that can incorporate both properties. By leveraging bio-inspired principles, Shi’s work is laying the groundwork for versatile soft robots capable of navigating unpredictable, real-world scenarios—from search-and-rescue to minimally invasive surgery—where adaptability is paramount.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
In Situ Reconfigurable Continuum Robot with Varying Curvature Enabled by Programmable Tensegrity Building Blocks
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Shenzhen University, Sun Yat-sen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago