Papers
4
Total Citations
36
H-Index
3
About
Dr. Jiayang Liu is a robotics researcher whose work centers on autonomous navigation, perception, and environmental sensing for mobile robots operating in complex, real-world settings. A key contribution is the development of a binocular vision-based method for obstacle distance measurement on high-voltage transmission lines, enabling cable inspection robots to navigate safely and effectively—a paper that has garnered 24 citations and addresses a critical challenge in power infrastructure monitoring. Dr. Liu also advanced smart grid monitoring by proposing a robot hybrid hierarchical network that integrates dynamic sensor networks with robotic systems, enhancing the sensing of environmental variables. More recently, their research has tackled crowd navigation by integrating trajectory prediction models like Trajectron++ with receding horizon control, improving robot movement in human-filled spaces. For outdoor unstructured environments, Dr. Liu introduced a terrain assessment method using dynamic voxel grids to segment 3D point clouds and identify untraversable areas, directly supporting robust path planning. These contributions demonstrate a sustained focus on bridging perception, prediction, and control to make autonomous robots more capable in challenging, dynamic environments.
Research Focus
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