Yaonan Guan
Papers
1
Total Citations
4
H-Index
1
About
Yaonan Guan is a robotics researcher whose work focuses on the intersection of soft robotics and model-based control, with a particular emphasis on hybrid hard-soft systems. Their major contribution lies in developing a novel hybrid touch robot that combines the structural advantages of rigid components with the inherent compliance of soft materials, addressing a critical challenge in human-machine interaction and delicate surface manipulation. In their most-cited work, "Model and Control of Hybrid Hard-soft Robots Using Model Predictive Control" (2022), Guan introduced a framework that enables accurate modeling and control of these hybrid systems, allowing them to maintain softness and body compliance while remaining predictable and controllable. This approach has significant implications for applications requiring safe physical interaction, such as touchscreen operation and collaborative robotics. With 4 citations on their key paper, Guan's work is gaining recognition as a practical solution to the modeling difficulties that have historically limited soft robot adoption. Their research represents an important step toward making soft robotics more accessible and controllable for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1