Fubin Zhang
Papers
2
Total Citations
39
H-Index
2
About
Fubin Zhang is a robotics researcher whose work centers on motion planning and autonomous navigation for mobile robots and underwater vehicles. His major contributions lie in developing efficient path planning algorithms that enable robots to operate intelligently in constrained environments. Zhang’s most cited work, “Constructing visibility graph and planning optimal path for inspection of 2D workspace” (2009, 24 citations), addresses the critical challenge of sensor-limited inspection: computing a short path that ensures every point in a known workspace is detected by a robot’s limited sensors. This foundational paper has influenced subsequent research in coverage path planning. More recently, Zhang introduced the Liveness-Based RRT (Li-RRT) algorithm in 2017 (15 citations), a novel variant of the rapidly exploring random trees framework tailored for autonomous underwater vehicles. This work tackles motion planning under obstacles and resource constraints, enhancing the safety and efficiency of AUV operations. By combining theoretical rigor with practical applicability, Zhang’s research continues to support advances in autonomous robotics, particularly for inspection and exploration tasks in challenging domains.
Research Focus
Key Achievements
Top Papers
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