Ghazal Zand

University of California, Merced

Papers

2

Total Citations

10

H-Index

1

About

Ghazal Zand is a researcher at the forefront of human-robot interaction, with a focused expertise in designing intuitive, accessible interfaces for telepresence robots. Her work addresses a critical usability gap: how to control remote robots effectively when users' hands and attention are limited. Zand’s major contributions include the development of novel, one-handed control techniques. Her most cited work, "TiltWalker" (2022, 9 citations), introduced a smartphone-based system that uses tilt gestures to drive a telepresence robot, freeing the user from cluttered, two-handed interfaces and allowing for a clearer view of the robot’s camera feed. This innovation directly tackled the problem of poor feedback and occluded displays in existing mobile clients. Building on this, her more recent paper, "TeleDriver" (2025), draws inspiration from driving simulators to create a more natural and immersive steering technique. By prioritizing single-hand operation and meaningful state feedback, Zand’s research is making telepresence robots more practical for everyday use, particularly for users with physical limitations or in multitasking scenarios. Her work represents a significant step toward more seamless and inclusive human-robot collaboration.

Research Focus

Key Achievements

1
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
TiltWalker: Operating a Telepresence Robot with One-Hand by Tilt Controls on a Smartphone
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of California, Merced

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago