Yong Chang — accepted AI-conference papers

2024

Kinetic-energy-optimal and Safety-guaranteed Trajectory Planning for Bridge Inspection Robot Manipulator

Tianyu Zhang, Yong Chang, Hongguang Wang, Tianlong Wang

IROS 2024poster

Bridge inspections are essential for maintaining key infrastructure and preventing structural and functional failures. Nevertheless, traditional manual inspection techniques are plagued by laboriousness, high risk, and low efficiency. Although numerous automation inspection methods have been studied…

Cited by 0 Source ↗Scholar ↗

2019

Deep Neural Network based Visual Inspection with 3D Metric Measurement of Concrete Defects using Wall-climbing Robot

Liang Yang, Bing Li, Guoyong Yang, Yong Chang, Zhaoming Liu, Biao Jiang +1

IROS 2019poster

This paper presents a novel metric inspection robot system using a deep neural network to detect and measure surface flaws (i.e., crack and spalling) on concrete structures performed by a wall-climbing robot. The system consists of four modules: robotics data collection module to obtain RGB-D images…

Cited by 28 Source ↗Scholar ↗