Mohamed Roushdy

Papers

Total Citations

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About

Mohamed Roushdy is a researcher in robotics and artificial intelligence, with a primary focus on multi-agent autonomous systems and intelligent behavior control. His most-cited work, "Extended Case-Based Behavior Control for Multi-Humanoid Robots" (2015), addresses the formidable challenge of coordinating multiple humanoid robots in dynamic, real-time environments such as the RoboCup domain. Roushdy’s key contribution lies in extending case-based reasoning to manage the complexity of multi-robot behaviors, enabling more adaptive and robust performance under rapidly changing conditions. This work has garnered 7 citations, reflecting its relevance to researchers tackling decentralized control in competitive robotics. By tackling the interplay between environmental dynamics and behavioral complexity, Roushdy has advanced the practical deployment of humanoid teams, offering a framework that balances real-time responsiveness with strategic coordination. His research continues to inform the development of autonomous agents capable of collaborative problem-solving in unpredictable settings, making him a notable figure in the intersection of multi-agent systems and humanoid robotics.