Muhammad Harits Arrazi
Papers
2
Total Citations
8
H-Index
2
About
Muhammad Harits Arrazi is a robotics researcher focused on intelligent autonomous systems for real-world applications, particularly in search-and-rescue and collaborative robotics. His most cited work, "Development of Landslide Victim Detection System using Thermal Imaging and Histogram of Oriented Gradients on E-PUCK2 Robot" (2020, 6 citations), pioneers the integration of thermal imaging with computer vision techniques to detect living humans in post-landslide environments—a critical innovation for disaster response. By combining thermal sensors with Histogram of Oriented Gradients (HOG) on a compact E-PUCK2 platform, Arrazi’s system enables robots to distinguish survivors from debris, enhancing the speed and safety of rescue operations. His earlier work, "Development of an autonomous smart-parallel-parking robot for the prototype of collaborative robots" (2019, 2 citations), addresses the challenge of precise positioning and information sharing among collaborative mobile robots, laying groundwork for multi-robot coordination in constrained spaces. Though his citation counts are modest, Arrazi’s contributions demonstrate a clear trajectory from foundational robotics (parking and collaboration) to high-impact humanitarian applications (victim detection). His research exemplifies how affordable, modular robotic platforms like the E-PUCK2 can be adapted for life-saving missions, bridging the gap between laboratory prototypes and field-deployable solutions.
Research Focus
Key Achievements
Top Papers
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- 2