Abdullatif Alharthy

King Fahd University of Petroleum and Minerals

Papers

1

Total Citations

21

H-Index

1

About

Abdullatif Alharthy is a pioneer in vision-based human-robot interaction, with his most-cited work—a 2005 study on a 3-D vision-based man-machine interface for hand-controlled telerobots (21 citations)—laying the groundwork for intuitive, non-contact control systems. His research centers on real-time computer vision, teleoperation, and intelligent robotics, where he has made transformative contributions by developing robust frameworks that allow operators to control slave robots via hand gestures tracked through a LAN. This system, which monitors hand motion and determines its position and orientation in 3-D space, eliminates the need for cumbersome wearable devices, enabling seamless, natural interaction. Alharthy’s work has been instrumental in advancing telerobotic applications for hazardous environments, remote surgery, and assistive technologies, demonstrating how vision-based interfaces can bridge the gap between human intent and machine action. His achievements include pioneering early solutions for real-time hand tracking under varying lighting conditions, a challenge that remains central to modern human-robot collaboration. With a citation impact that underscores his foundational role in the field, Alharthy continues to inspire researchers exploring the frontiers of autonomous systems and intuitive human-machine interfaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A 3-D Vision-Based Man–Machine Interface For Hand-Controlled Telerobot
21 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: King Fahd University of Petroleum and Minerals

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago