Sofiane Tchoketch Kebir

University of Sciences and Technology Houari Boumediene, University Yahia Fares of Medea

Papers

Total Citations

H-Index

About

Sofiane Tchoketch Kebir is a researcher specializing in robotics, computer vision, and embedded systems, with a focus on intuitive human-robot interaction and autonomous navigation. His work bridges the gap between gesture-based control and real-time mobile robot operation, leveraging affordable hardware like Arduino microcontrollers and RGB-D cameras. In his highly cited 2016 paper (13 citations), Kebir introduced a novel method for controlling mobile robots through hand gestures, employing the circular Hough transform to interpret hand images and transmit control signals via Wi-Fi. This contribution demonstrated a practical, low-cost approach to non-contact robot control. Building on this, his 2018 study (6 citations) advanced the field by integrating RGB-D cameras for smart robot navigation, enabling real-time obstacle detection and avoidance through sophisticated signal and image processing. Kebir’s work is notable for its emphasis on accessibility and real-world applicability, making sophisticated robotic control feasible with minimal hardware. His research continues to influence developments in assistive robotics and autonomous systems, offering foundational techniques for students and engineers exploring gesture-based interfaces and vision-guided navigation.