Yitong Xue

Ritsumeikan University

Papers

4

Total Citations

13

H-Index

2

About

Yitong Xue is pioneering the intersection of soft robotics and intelligent automation for unstructured environments, with a particular focus on transforming the food industry. Her research centers on developing compliant, adaptive robotic systems capable of handling delicate and variable objects in settings like food factories and agricultural warehouses. Xue’s major contributions include the creation of an empirical model for soft bellows actuators, which provides a foundational framework for understanding and predicting the behavior of these flexible components. She has also advanced practical applications through the development of a robotic gripper with flow characteristics and variable stiffness, specifically designed for food bin-picking tasks. To address labor shortages in the food sector, Xue generated a synthetic dataset for robotic food handling systems, enabling deep learning models to operate without the burden of extensive manual data collection. Her most innovative work involves proposing unplugged robotic actuators based on 4D-printed hydrogels, which harness natural energy sources like water, light, and temperature, eliminating the need for traditional electrical or pneumatic power. With over 13 citations across her early-career publications, Xue is establishing herself as a forward-thinking researcher whose work promises to make robotics more sustainable, versatile, and directly applicable to real-world industrial challenges.

Research Focus

Key Achievements

2
H-Index
4
Papers
13
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An empirical model of soft bellows actuator
6 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Ritsumeikan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago