Kaihua Xu
Papers
1
Total Citations
2
H-Index
1
About
Kaihua Xu is a researcher at the forefront of construction robotics and automation, with a specialized focus on the optimization of robotic systems for concrete leveling and finishing tasks. His work bridges the gap between discrete element modeling and real-world robotic path planning, addressing critical challenges in the efficiency and precision of automated construction processes. Xu’s most notable contribution, the 2025 paper "Collaborative optimization of indoor concrete leveling robot path based on discrete element simulation," introduces a novel framework that integrates simulation-driven insights with multi-objective optimization to enhance robot trajectory and material handling. This work, already garnering 2 citations in its early publication stage, demonstrates his ability to tackle complex, interdisciplinary problems—combining robotics, materials science, and computational simulation. By focusing on indoor construction environments, Xu’s research has direct implications for reducing labor costs, improving surface quality, and accelerating project timelines in the building industry. His achievements signal a promising trajectory in advancing smart construction technologies, making his work essential reading for students and researchers interested in the intersection of robotics, simulation, and civil engineering innovation.
Research Focus
Key Achievements
Top Papers
- 1