Liang Hong

Papers

Total Citations

H-Index

About

Liang Hong is a researcher whose work sits at the intersection of robotics, autonomous systems, and intelligent path planning. Their most recognized contribution centers on solving practical challenges in mobile robot navigation, particularly the problem of automatic recharging path planning for cleaning robots operating in complex industrial environments. In their 2021 paper, which has garnered 12 citations, Hong proposed innovative environmental path planning frameworks based on both designated and multiple charging location scenarios, leveraging an improved Maklink graph methodology to enhance navigational efficiency and reliability. This work addresses a critical bottleneck in the deployment of autonomous cleaning systems — ensuring robots can independently locate and reach charging stations without human intervention, a capability essential for sustained industrial operation. By combining graph-based planning techniques with real-world constraints, Hong's research bridges theoretical algorithms with practical robotic applications. Their contributions are particularly relevant to researchers and engineers working on autonomous mobile robots, warehouse automation, and smart cleaning systems. As robotics continues to expand into industrial and commercial settings, Hong's foundational work on energy-aware path planning positions them as a meaningful contributor to the advancement of truly autonomous robotic systems.