Papers

1

Total Citations

3

H-Index

1

About

Lia Kamelia is a researcher whose work lies at the intersection of robotics, computer vision, and intelligent automation. Her most-cited paper, "Prototype of Mobile Robot Tracking Object Using Sensor Vision" (2022, 3 citations), exemplifies her focus on developing practical, sensor-driven systems that enhance accuracy and efficiency in object tracking. In this study, Kamelia addresses the growing demand for automation by designing a mobile robot capable of autonomously following a target using vision-based sensors—a contribution with clear applications in surveillance, logistics, and human-robot interaction. Her work demonstrates a commitment to bridging theoretical advances with real-world prototyping, offering solutions that improve system responsiveness and reliability. While her citation count is still growing, Kamelia’s research is notable for its hands-on, application-oriented approach, making her a promising voice in the field of mobile robotics. Her efforts contribute to the broader push toward smarter, more autonomous systems that can operate effectively in dynamic environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Prototype of Mobile Robot Tracking Object Using Sensor Vision
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Sunan Gunung Djati State Islamic University Bandung

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago