Papers

2

Total Citations

5

H-Index

1

About

Mingge Li is pioneering the intersection of soft robotics and intelligent materials, with a focus on creating robots that can sense their own movements and navigate complex environments. Their major contributions lie in developing conductive hydrogel-based sensors that enable soft robots to achieve proprioception—the ability to perceive their own body position and motion. In their highly cited 2024 work, Li demonstrated how these hydrogels can be integrated into soft robots for real-time bending angle measurement and trajectory tracking, a critical step toward precise control of highly deformable systems. This work has already garnered 4 citations, signaling its rapid impact on the field. Additionally, Li’s research on bioinspired design is exemplified by their inchworm-inspired soft crawling robot, which uses tensegrity-driven annular scale pairs to mimic the alternating high- and low-friction locomotion of inchworms. By combining novel materials with biological principles, Li is advancing the capabilities of soft robots for applications in search-and-rescue, medical devices, and environmental monitoring. Their work represents a significant leap toward autonomous, self-aware soft robotic systems.

Research Focus

Key Achievements

1
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Conductive hydrogels‐based self‐sensing soft robot state perception and trajectory tracking
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Science and Technology Beijing

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago