Papers

2

Total Citations

110

H-Index

2

About

Tommy Fang is a leading researcher in human-drone interaction, specializing in designing intuitive interfaces that bridge the gap between people and autonomous flying robots. His most influential work, "Drone.io: A Gestural and Visual Interface for Human-Drone Interaction" (2019, 59 citations), introduced a groundbreaking projected body-centric graphical user interface that allows users to control drones through simple hand gestures. This innovation transformed how drones can be used in social contexts, from photography to collaborative tasks, making drone interaction as natural as human communication. Fang's second major contribution, "FlyMap" (2018, 51 citations), reimagines interactive map design for autonomous mobile devices, addressing the unique challenges of creating spatial interfaces for robots that operate independently from users. His work has been instrumental in advancing the field of human-robot interaction, earning recognition for making complex drone technology accessible to non-experts. Fang's research continues to shape how we think about the future of autonomous systems, where drones and robots become seamless partners in our daily lives, responding to our gestures and needs without traditional controllers or screens.

Research Focus

Key Achievements

2
H-Index
2
Papers
110
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Drone.io: A Gestural and Visual Interface for Human-Drone Interaction
59 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Stanford University, Laboratoire d'Informatique de Paris-Nord

Top Papers

  1. 1
  2. 2
    FlyMap
    51 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago