Mohamed Belaidi
Papers
1
Total Citations
6
H-Index
1
About
Mohamed Belaidi is a robotics researcher whose work centers on autonomous navigation, obstacle avoidance, and path planning for mobile robots operating in dynamic, uncertain environments. His most-cited paper, "Implementation of a Mobile Robot Platform Navigating in Dynamic Environment" (2017, 6 citations), addresses the fundamental challenge of enabling wheeled mobile robots to reach destinations safely without collision, even when obstacles move unpredictably. This contribution is pivotal for advancing autonomous control systems, as it tackles the backbone of real-world robot autonomy: robust perception and decision-making in non-static settings. Belaidi’s research has practical implications for service robotics, logistics, and exploration, where robots must adapt to changing surroundings. His work underscores the importance of integrating sensor data with intelligent algorithms to achieve reliable navigation. By focusing on dynamic environments, Belaidi contributes to the broader goal of making autonomous systems more resilient and capable in everyday human spaces. His findings offer valuable insights for students and engineers developing next-generation mobile robots that can operate safely and efficiently alongside people.
Research Focus
Key Achievements
Top Papers
- 1