Xiaotian Ye
Papers
1
Total Citations
2
H-Index
1
About
Xiaotian Ye is a rising researcher at the forefront of intelligent construction and human-robot collaboration. His work focuses on developing safe, efficient path-planning algorithms for construction robots, a critical challenge in automating dynamic and hazardous job sites. Ye’s most notable contribution is a novel method that integrates safe-space modeling with real-time worker trajectory prediction, enabling robots to navigate complex environments while proactively avoiding collisions with human workers. This approach, presented at the 2024 ISARC conference, addresses a fundamental safety bottleneck in construction automation. Though early in his career, his research has already garnered attention, with his flagship paper accumulating citations for its practical relevance. By bridging robotics, computer vision, and construction safety, Ye is helping to lay the groundwork for truly collaborative workspaces where machines and humans operate side-by-side without risk. His work represents a critical step toward the intelligent, autonomous construction sites of the future.
Research Focus
Key Achievements
Top Papers
- 1