Daniel Corbata

Papers

Total Citations

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About

Daniel Corbata is a researcher in autonomous robotics and multi-agent systems, with a primary focus on high-level reasoning architectures for robotic platforms. 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 provide mobile soccer robots with sophisticated deliberative capabilities. This architecture is built upon a layered system, where each layer corresponds to a different level of abstraction in robotic specification, enabling seamless integration of high-level reasoning with low-level control. Corbata's contribution lies in bridging the gap between symbolic AI and robotics, allowing robots to make context-aware decisions in dynamic, competitive environments like robotic soccer. His work has influenced subsequent research in BDI-based robotic control and multi-robot coordination. While his citation count is modest, his architectural approach has been referenced in studies on autonomous decision-making and layered robotic systems. Corbata's research continues to explore how intelligent agents can deliberate effectively in real-world settings, making his work relevant to students and researchers interested in cognitive robotics and agent-based systems.