Xuemin Gao

Guangzhou University

Papers

1

Total Citations

5

H-Index

1

About

Xuemin Gao is a rising innovator in the field of soft robotics, with a focused expertise in variable stiffness technologies and adaptive grasping mechanisms. Her most-cited work, "Autologous Variable Stiffness Soft Finger Based on Cross-Layer Jamming for Multimode Grasping" (2024, 5 citations), introduces a groundbreaking approach to enhancing load-bearing capacity in soft robotic fingers. Rather than relying on external layer-jamming units that complicate design, Gao proposes an autologous cross-layer jamming method that integrates stiffness modulation directly into the actuator structure. This innovation simplifies fabrication while enabling multimode grasping—allowing soft fingers to transition seamlessly between compliant and rigid states for handling diverse objects. Although early in her career, Gao’s contributions address a critical bottleneck in soft robotics: balancing flexibility with strength. Her work has already garnered attention for its potential to advance prosthetics, industrial automation, and human-robot interaction. By rethinking how variable stiffness is achieved, Xuemin Gao is paving the way for simpler, more capable soft robotic systems that can adapt to real-world tasks with unprecedented efficiency.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Autologous Variable Stiffness Soft Finger Based on Cross-Layer Jamming for Multimode Grasping
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Guangzhou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago