Kheireddine Chara
Papers
1
Total Citations
9
H-Index
1
About
Kheireddine Chara is a researcher in robotics and computer vision, with a focus on intelligent object detection and tracking systems. His work bridges hardware and software, developing robotic platforms that can autonomously perceive and interact with their environments. His most-cited paper, "Object Tracking Platform for Color Object Detection using Genetic Algorithm Optimization" (2020, 9 citations), introduces a novel robotic system that combines ultrasonic sensing and camera vision to detect objects in both indoor and outdoor settings. By applying genetic algorithm optimization, Chara addresses a core challenge in tracking: reliable object detection under varying conditions. This work demonstrates his ability to integrate evolutionary computation with real-time robotic perception, offering practical solutions for autonomous navigation and surveillance. Chara’s contributions are particularly valuable for students and researchers interested in low-cost, adaptive vision systems. His research exemplifies how optimization techniques can enhance the robustness of robotic platforms, making object detection more efficient in unknown environments. With a growing citation record and a focus on applied, interdisciplinary robotics, Chara is a promising voice in the field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1