Papers
1
Total Citations
3
H-Index
1
About
Nadim Obeid is a researcher in artificial intelligence and robotics, with a particular focus on autonomous navigation systems. His work is centered on developing intelligent architectures that enable mobile robots to operate effectively in dynamic, real-world environments. Obeid’s most cited contribution, “Combining goal-directed, reactive and reflexive navigation in autonomous mobile robots” (2002), introduces a simple yet elegant fuzzy navigation system that integrates three distinct behavioral layers: goal-directed planning, reactive obstacle avoidance, and reflexive responses. By employing a fuzzy executive to monitor sensory inputs and activate the appropriate behavioral rules, Obeid demonstrated how robots can seamlessly switch between deliberate and instinctive actions. This layered approach has been foundational for researchers seeking to balance efficiency, safety, and adaptability in autonomous systems. While his citation count reflects a focused, niche impact, Obeid’s work remains a valuable reference for those exploring hybrid navigation architectures. His research underscores the importance of modular, behavior-based design in robotics, offering a practical framework for building robust autonomous agents that can navigate complex, unpredictable spaces.
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Top Papers
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