Zhihong Liang
Shenyang University of Technology, Shenyang Ligong University
Papers
2
Total Citations
4
H-Index
2
About
Zhihong Liang’s research focuses on the intersection of mobile robotics, computer vision, and multi-agent systems, with a particular emphasis on enabling robust, real-time autonomy in constrained environments. His work addresses critical challenges in deploying advanced visual SLAM algorithms on embedded platforms, bridging the gap between high-performance computer vision and practical robotic hardware. Liang’s most cited paper, “Implementation and optimization of ORB-SLAM2 algorithm based on ROS on mobile robots” (2023), directly tackles the inefficiencies of running ORB-SLAM2 on a PC by porting it to a Robot Operating System (ROS) on an embedded system. This optimization improves computational resource utilization and enhances robot flexibility—a key contribution for real-world deployment. His earlier work, “Formation Algorithms for Multiple Mobile Robots Based on Vision Detection” (2016), explores cooperative control for multi-robot teams, addressing the limitations of single-unit systems in complex tasks. While his citation counts are currently modest, Liang’s focus on practical, implementable solutions for SLAM and formation control represents foundational work in scalable robotic systems, offering valuable insights for researchers advancing autonomous navigation and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
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- 2