Daniel Corbatta

Papers

Total Citations

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About

Daniel Corbatta is a researcher in autonomous robotics and multi-agent systems, with a primary focus on high-level robot deliberation and cognitive architectures. His most cited work, "A BDI Architecture for High Level Robot Deliberation" (2010, 19 citations), introduces a Belief-Desire-Intention (BDI) agent architecture designed to equip mobile soccer robots with sophisticated reasoning capabilities. This architecture is structured as a layered system, where each layer corresponds to a different level of abstraction in robotic specification, enabling robots to make strategic decisions rather than merely reacting to their environment. Corbatta's contribution lies in bridging the gap between abstract AI reasoning and practical robotic control, offering a framework that allows robots to deliberate about goals and actions in dynamic settings. While his citation count reflects a niche but focused impact, his work is particularly relevant to researchers in robotics, autonomous agents, and multi-robot coordination. By integrating BDI principles into robotic systems, Corbatta has provided a foundational approach for developing more intelligent and autonomous robots capable of complex, goal-oriented behavior.