Yuanzhi Cao
Papers
6
Total Citations
202
H-Index
5
About
Yuanzhi Cao is a leading researcher at the intersection of Augmented Reality (AR), human-robot collaboration, and end-user programming. His work focuses on democratizing complex technologies by creating intuitive authoring systems that allow non-experts to design and control interactive AR applications and robotic tasks. Cao’s most impactful contribution is **GesturAR** (74 citations), an end-to-end authoring tool that enables users to create freehand gesture-based AR experiences without coding. He also developed **GhostAR** (68 citations), a pioneering time-space editor for embodied authoring of human-robot collaborative tasks, allowing users to program robots through demonstrative role-playing in AR. His system **V.Ra** (41 citations) further extends this vision by enabling visual and spatial programming of robot-IoT ecosystems, where mobile robots act as binding agents for collaborative tasks. Cao’s work consistently emphasizes embodied interaction and in-situ authoring, making advanced robotics and AR accessible to broader audiences. His research has been published at top venues like UIST and CHI, and his systems represent a significant step toward seamless human-robot collaboration in everyday environments.