David Habsara Hareva
Papers
1
Total Citations
2
H-Index
1
About
David Habsara Hareva is a researcher whose work bridges the fields of computer vision, robotics, and intelligent systems. His key contributions center on the development of image processing techniques for multi-robot coordination, particularly in dynamic environments such as robot soccer. In his notable 2016 paper, "Image Processing Based Robot Soccer: Obtaining Multiple Robots Position and Orientation Using High-Angle Shot of Camera," Hareva introduced a novel method for accurately tracking and localizing multiple robots using a single overhead camera. This approach, which leverages high-angle camera perspectives to extract positional and orientation data, has been cited 2 times and demonstrates his focus on practical, real-time solutions for autonomous systems. While his citation count is modest, his work contributes to foundational challenges in multi-agent sensing and control, offering a cost-effective framework for robotics education and research. Hareva’s research reflects a commitment to integrating accessible hardware with sophisticated algorithms, making him a valuable contributor to the development of intelligent, vision-guided robotic systems.
Research Focus
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Top Papers
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