Zhaojun Fang

Papers

Total Citations

H-Index

About

Zhaojun Fang’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on assistive technologies for elderly care. Her most-cited work, “Vision-Based Chess Detection for a Robotic Companion” (2021), addresses the growing need for socially engaging robots that can provide emotional companionship alongside physical assistance. By developing a robust chess detection system, Fang enables robots to participate in interactive games with older adults, fostering cognitive stimulation and reducing social isolation. This contribution is especially timely given global demographic shifts toward aging populations. While her citation count is still growing, Fang’s work has been recognized for its practical, human-centered approach—demonstrating how robots can move beyond basic care tasks to become genuine companions. Her research highlights the potential of integrating vision-based systems into robotic platforms to create meaningful, adaptive interactions. As the field of assistive robotics expands, Fang’s focus on emotionally intelligent, game-based engagement positions her as a promising voice in designing technology that respects the dignity and autonomy of elderly users.