Yuanyang Fang
Papers
1
Total Citations
2
H-Index
1
About
Yuanyang Fang is a researcher whose work sits at the intersection of robotics, optimization, and thermal physics. Fang’s primary research areas include mobile robot path planning, topology optimization, and heat transfer modeling. Their most notable contribution is the development of a novel path planning algorithm for mobile robots, inspired by the dichotomy of thermal conduction topology optimization. This approach leverages principles from heat conduction to generate efficient, collision-free trajectories, offering a fresh perspective on autonomous navigation in complex environments. Despite being a relatively recent publication (2021), the work has already garnered 2 citations, signaling growing interest from peers in robotics and optimization communities. Fang’s research bridges theoretical optimization methods with practical robotic applications, demonstrating how physical analogies can solve computational challenges. Their work is particularly relevant for students and researchers exploring bio-inspired or physics-informed algorithms in robotics. As Fang continues to publish, their contributions are poised to influence both the theoretical foundations and real-world deployment of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1