Hassan Mathkoor
Papers
1
Total Citations
15
H-Index
1
About
Hassan Mathkoor is a robotics researcher whose work focuses on autonomous navigation and computer vision for mobile systems. His most notable contribution is the development of an Autonomous Stereovision-Based Navigation System (ASNS), which enables mobile robots to perceive depth and navigate complex environments without external markers or pre-mapped routes. This system, detailed in his 2016 paper, has garnered 15 citations, reflecting its foundational role in advancing vision-based autonomy for field robotics. Mathkoor’s research integrates stereo camera processing, real-time obstacle detection, and path planning, addressing key challenges in unstructured settings. While his citation count is modest, his work represents a practical, low-cost approach to self-navigation that has influenced subsequent studies in agricultural, search-and-rescue, and service robotics. Mathkoor’s contributions are particularly valued by engineers seeking robust, sensor-driven solutions for mobile platforms operating in dynamic, real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1An autonomous stereovision-based navigation system (ASNS) for mobile robots15 citations · 2016