Saqib Mehmood

Papers

1

Total Citations

7

H-Index

1

About

Saqib Mehmood is a researcher at the intersection of human-computer interaction and autonomous systems, with a particular focus on eye-tracking technology and robotic control. His most cited work, "Control of Articulated Robot Arm by Eye Tracking" (2010), has garnered 7 citations and represents an innovative approach to human-machine collaboration. In this pioneering study, Mehmood explored how human eyes can serve as an alternative to hands for controlling robotic systems, developing two distinct applications that demonstrate the practical potential of gaze-based robot manipulation. His research addresses a fundamental challenge in human-computer interaction: enabling intuitive, hands-free control of complex machinery. By leveraging eye movements as a control input, Mehmood's work opens new possibilities for assistive technologies and autonomous systems, particularly for users with limited motor capabilities. While his citation count reflects the specialized nature of his early-career work, the conceptual foundation he established—using ocular signals to command articulated robotic arms—has implications for rehabilitation robotics, industrial automation, and human-robot collaboration. His contributions highlight the growing importance of non-traditional interfaces in expanding the accessibility and versatility of robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Control of Articulated Robot Arm by Eye Tracking
7 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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