Papers
1
Total Citations
3
H-Index
1
About
Yuping Shen is a robotics researcher whose work focuses on the intersection of humanoid robotics, control systems, and formal modeling methods. Their most notable contribution is the development of Petri-net-based implementations for humanoid robot performance in dynamic sports scenarios, specifically applied to FIRA weightlifting and sprint games. This work, published in 2013, demonstrates how discrete event control models can be used to coordinate complex, real-time robot behaviors in competitive athletic tasks. While the citation count for this paper is modest at 3, it represents a foundational approach to structuring robot motion and decision-making through formal verification methods. Shen’s research is particularly valuable for students and engineers interested in bridging theoretical control models with practical humanoid applications, especially in the context of robot sports competitions. Their work contributes to the broader goal of making humanoid robots more agile, responsive, and capable of executing multi-stage tasks under time constraints.
Research Focus
Key Achievements
Top Papers
- 1