Xuankai Chen
Papers
1
Total Citations
2
H-Index
1
About
Xuankai Chen is an emerging researcher whose work sits at the intersection of construction robotics, discrete element modeling, and intelligent path planning. His primary research focus is on automating and optimizing heavy construction processes—specifically indoor concrete leveling—through the integration of robotic systems and simulation-based algorithms. In his most-cited work, "Collaborative optimization of indoor concrete leveling robot path based on discrete element simulation" (2025), Chen introduces a novel framework that combines discrete element method (DEM) simulations with path optimization to improve the efficiency and precision of robotic concrete finishing. This contribution addresses a critical bottleneck in construction automation: the need for robots to navigate uneven, dynamic material surfaces while maintaining high-quality leveling. Though early in his career, Chen’s work has already garnered attention, with his flagship paper accumulating 2 citations—a promising start for a 2025 publication. His research is particularly notable for bridging the gap between granular material physics and practical robotics, offering a pathway toward safer, faster, and more reliable construction sites. As the demand for autonomous construction grows, Chen’s interdisciplinary approach positions him as a rising voice in the field.
Research Focus
Key Achievements
Top Papers
- 1