Yuxin Shang
Papers
1
Total Citations
2
H-Index
1
About
Yuxin Shang is a researcher in mobile robotics and multi-objective optimization, with a primary focus on developing intelligent path planning algorithms for autonomous systems. Their most cited work introduces a novel mobile robot path planning algorithm that simultaneously optimizes three critical objectives: path length, smoothness, and security. By integrating chaotic sequences with heuristic methods based on environmental knowledge for population initialization, Shang’s approach addresses the fundamental challenge of balancing competing goals in real-world navigation. This work, published in 2020, has garnered 2 citations and represents a meaningful contribution to the field of autonomous navigation. Shang’s research is particularly relevant for applications in logistics, warehouse automation, and service robotics, where efficient and safe path planning is essential. Their algorithm’s multi-objective framework offers a practical solution for robots operating in complex, dynamic environments, demonstrating a thoughtful integration of theoretical optimization techniques with real-world constraints. For students and researchers in robotics, Shang’s work provides a clear example of how multi-objective optimization can enhance autonomous decision-making.
Research Focus
Key Achievements
Top Papers
- 1