Miguel Castro

Central University of Venezuela, Universidad Simón Bolívar

Papers

Total Citations

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About

Miguel Castro is a researcher in robotics and computational intelligence, with a primary focus on autonomous navigation and path planning. His most influential work, "An Algorithm for Robot Path Planning with Cellular Automata" (2001), has garnered 63 citations, establishing a foundational approach that leverages cellular automata for efficient, decentralized robot motion in complex environments. This contribution is notable for its simplicity and scalability, offering a novel alternative to traditional graph-based methods. Castro further advanced the field with his 2005 paper on a "Heuristic Algorithm for Robot Path Planning Based on a Growing Elastic Net," which introduced a self-organizing neural network technique to dynamically adapt paths in real time. Though less cited, this work demonstrates his commitment to biologically inspired algorithms. Together, these studies have shaped research in autonomous systems, particularly for applications requiring adaptive, real-time decision-making. Castro’s contributions remain a reference point for students and researchers exploring cellular automata and elastic net approaches in robotics, highlighting his role in bridging theoretical models with practical navigation solutions.