Zhen Fan

Papers

Total Citations

H-Index

About

Zhen Fan’s research centers on robotics and autonomous navigation, with a particular focus on path planning for smart home environments. In their most-cited work, “Multiple Waypoints Path Planning for a Home Mobile Robot” (2018, 15 citations), Fan introduced Multi-RRT*, an innovative adaptation of the optimal sampling-based RRT* algorithm. This method constructs multiple trees from various waypoints, enabling efficient and intelligent navigation for home mobile robots. By addressing the challenge of multiple waypoints path planning, Fan’s contribution enhances the practicality and autonomy of domestic robotic systems. While the citation count reflects a growing recognition in the field, this work stands out for its direct application to real-world smart home scenarios, bridging theoretical algorithm development with tangible robotic solutions. Fan’s research demonstrates a commitment to improving everyday technology through computational intelligence, making their work particularly relevant for students and researchers interested in robotics, motion planning, and human-robot interaction.