Minxin Yang
Papers
1
Total Citations
7
H-Index
1
About
Minxin Yang is a leading researcher in construction robotics and autonomous navigation, with a focus on enabling mobile robots to operate safely and efficiently in complex, dynamic environments. Their most-cited work, "Optimized motion planning for mobile robots in dynamic construction environments with low-feature mapping and pose-based positioning" (2025, 7 citations), introduces a novel framework that integrates low-feature mapping with pose-based positioning to overcome the challenges of sparse, changing construction sites. This contribution addresses critical gaps in real-time robot localization and path planning, offering robust solutions for cluttered and unpredictable settings. Yang’s research has significant implications for automating construction tasks, improving safety, and reducing human error on job sites. By combining theoretical advances in motion planning with practical sensor fusion techniques, they have laid the groundwork for more adaptive and resilient robotic systems. Their work is already influencing peers in the field, as evidenced by early citations, and positions Yang as an emerging authority in construction robotics. For students and researchers, Yang’s approach exemplifies how targeted algorithmic innovations can solve real-world industrial problems.
Research Focus
Key Achievements
Top Papers
- 1