Asfa Javed

University of Management and Technology

Papers

1

Total Citations

3

H-Index

1

About

Asfa Javed is a robotics researcher whose work centers on tele-presence systems, sensor integration, and autonomous navigation. Her most-cited paper, "Implementation of Omni-D Tele-Presence Robot Using Kalman Filter and Tricon Ultrasonic Sensors" (2022), introduces an affordable, hardware-efficient tele-presence robot designed for everyday applications across multiple fields. By combining Kalman filtering with tricon ultrasonic sensors, Javed addresses key challenges in real-time obstacle detection and smooth navigation—offering a cost-effective alternative to resource-heavy solutions like Skype or extra peripherals. This work, garnering 3 citations, demonstrates her focus on practical, accessible robotics that can enhance remote interaction in healthcare, education, and industry. Javed’s contributions lie in bridging the gap between advanced control algorithms and low-cost hardware, making tele-presence technology more deployable in real-world settings. Her research is particularly relevant for students and engineers interested in mobile robotics, sensor fusion, and human-robot interaction. With a clear emphasis on economic and functional design, Javed is establishing herself as a promising voice in the field of intelligent robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of Omni-D Tele-Presence Robot Using Kalman Filter and Tricon Ultrasonic Sensors
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Management and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago