Chaofan Zhang

Papers

Total Citations

H-Index

About

Chaofan Zhang is a researcher specializing in robotics, computer vision, and autonomous navigation systems. His work sits at the intersection of mobile robotics and intelligent perception, with a particular focus on developing robust navigation frameworks that overcome the limitations of traditional approaches. His most recognized contribution, "Object-Based Reliable Visual Navigation for Mobile Robot" (2022), has garnered 24 citations and addresses a critical challenge in the field: enabling mobile robots to navigate reliably without depending on pre-constructed precise metric maps or exhaustive training datasets. By leveraging object-based perception strategies, Zhang's approach offers a more flexible and generalizable solution for real-world autonomous navigation, pushing the boundaries of what robots can achieve in dynamic, unstructured environments. His research reflects a broader commitment to making autonomous systems more practical and deployable outside of controlled laboratory settings. For students and researchers working in autonomous robotics, computer vision, or human-robot interaction, Zhang's contributions offer valuable insights into perception-aware navigation methodologies that balance reliability, efficiency, and adaptability — qualities essential for the next generation of intelligent mobile systems.