M. Azrai M. Norrazi
Papers
1
Total Citations
2
H-Index
1
About
M. Azrai M. Norrazi is a researcher in multi-agent robotic systems, with a focused interest in formation control and obstacle avoidance strategies. His most notable contribution, the paper "Formations Strategies for Obstacle Avoidance with Multi Agent Robotic System" (2013), addresses the critical challenge of coordinating multiple robots to navigate complex environments while maintaining formation integrity. This work, which has garnered 2 citations, explores algorithms that enable autonomous agents to dynamically adjust their paths to avoid obstacles without losing collective structure—a fundamental problem in swarm robotics and cooperative automation. Norrazi’s research bridges theoretical control theory and practical robotic applications, offering insights that are valuable for fields such as search-and-rescue operations, warehouse logistics, and autonomous vehicle platooning. While his citation count reflects the niche nature of his early work, his contributions lay groundwork for scalable multi-robot coordination, particularly in constrained or unpredictable settings. Norrazi’s dedication to advancing robotic teamwork underscores his potential for future impact in intelligent systems.
Research Focus
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Top Papers
- 1