Dan Zheng
Papers
1
Total Citations
35
H-Index
1
About
Dan Zheng is a pioneering researcher in mobile robotics, with a primary focus on path planning and autonomous navigation. His most influential work, "Mobile robot path planning based on hierarchical hexagonal decomposition and artificial potential fields" (1994), introduced a novel algorithm that combines artificial potential fields with hierarchical hexagonal cell decomposition to solve the find-path problem in known environments. This approach, which has garnered 35 citations, represents an early and significant contribution to efficient obstacle avoidance and trajectory generation for mobile robots. Zheng's research addresses the fundamental challenge of enabling robots to navigate complex workspaces by decomposing space into manageable hexagonal cells and applying potential field methods to guide movement. His work laid important groundwork for subsequent developments in autonomous navigation, particularly in how robots can intelligently plan paths through cluttered environments. While his citation count reflects the specialized nature of his contributions, Zheng's integration of hierarchical decomposition with potential fields remains a notable achievement in the field's foundational literature, influencing later researchers working on real-time path planning and obstacle avoidance systems.
Research Focus
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Top Papers
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