Melita Ahic-Djokic
Papers
2
Total Citations
28
H-Index
2
About
Melita Ahic-Djokic is a dedicated researcher in robotics, computer vision, and engineering education, with a focus on practical, low-cost sensory systems. Her most cited work, “Simple Computer Vision System for Chess Playing Robot Manipulator as a Project-based Learning Example,” has garnered 25 citations and exemplifies her commitment to integrating hands-on, project-based learning (PBL) into undergraduate curricula. This paper details the development of an accessible vision system using a standard CCD camera and personal computer, enabling a robot to play chess—a compelling educational tool that bridges theory and application. Ahic-Djokic also explores environmental perception in robotics, as seen in her work on ultrasound-based sensory systems for inspection robots, which addresses the challenge of discriminating among nearby objects—a limitation of common sensors like infrared and lasers. Though her citation counts are modest, her contributions are notable for their pedagogical impact and practical ingenuity, offering students and researchers alike a blueprint for creating functional, low-cost robotic systems. Her work underscores the value of accessible technology in advancing both robotics education and real-world automation.
Research Focus
Key Achievements
Top Papers
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