Ahmed Sabbir Arif

University of California, Merced

Papers

3

Total Citations

13

H-Index

2

About

Ahmed Sabbir Arif is a leading researcher in human-robot interaction, specializing in intuitive and accessible control systems for telepresence robots. His work addresses the critical challenge of operating these robots with limited dexterity or screen space, focusing on one-handed and wearable interfaces. Arif’s major contributions include the development of novel control techniques that prioritize user experience and efficiency. His most-cited paper, "TiltWalker" (2022, 9 citations), introduces a smartphone-based tilt control system that allows users to navigate a telepresence robot with a single hand, overcoming the clutter and occlusion issues of traditional mobile interfaces. He further advanced the field with "ThumbDriver" (2024, 3 citations), which leverages a finger-worn mouse for precise, smooth robot control, and "TeleDriver" (2025, 1 citation), a driving simulator-inspired technique for enhanced steering. Arif’s work consistently demonstrates a commitment to making telepresence robotics more accessible and user-friendly, with a clear impact on assistive technology and remote collaboration. His innovative approaches are shaping the future of how we interact with robots in everyday environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
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: 3
🏛 Institutions: University of California, Merced

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago