Yuanshan Ma

Papers

Total Citations

H-Index

About

Yuanshan Ma is a researcher advancing the frontiers of intelligent construction and robotic automation, with a primary focus on sensor-based perception and structural monitoring. His key research areas include 3D LiDAR point cloud processing, feature extraction, and vibration detection for robotic systems in civil engineering. Ma’s most notable contribution is the development of an automatic vibration position detection method for robot arms, which leverages 3D LiDAR point cloud feature extraction to guide concrete vibration in reinforced structures—a critical process in construction. This work, published in 2024, has already garnered 3 citations, signaling early impact in a niche but vital field. By replacing traditional image-based methods with LiDAR-driven detection, Ma enhances accuracy and robustness under challenging construction environments. His research bridges the gap between robotics and structural engineering, offering practical solutions for automating labor-intensive tasks. As a rising scholar, Ma’s work holds promise for improving efficiency and safety in modern construction, making him a researcher to watch in the evolving landscape of smart infrastructure and robotic perception.