Richard Fung
Papers
1
Total Citations
16
H-Index
1
About
Richard Fung is a pioneering researcher in human-robot interaction and augmented reality (AR), with a focus on making robot instruction intuitive for non-experts. His most influential work introduces an AR system that allows users to teach household robots sequential tasks—like preparing a drink—by decomposing high-level goals into step-by-step actions captured through a handheld device. This approach bridges the gap between complex robotic programming and everyday usability, enabling seamless human-robot collaboration in domestic settings. With 16 citations on his landmark 2011 paper, Fung’s contributions have laid groundwork for accessible robot teaching methods, influencing subsequent studies in AR-assisted robotics and task planning. His work is particularly notable for emphasizing user-centric design, where the human remains in control of decomposing tasks while the robot executes them—a balance that has inspired further research in interactive machine learning. For students and researchers, Fung’s research offers a compelling vision of how augmented reality can democratize robotics, making it a vital reference for those exploring intuitive interfaces for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1