Mariano Tucat
Papers
3
Total Citations
24
H-Index
2
About
Mariano Tucat is a researcher in cognitive robotics and multi-agent systems, with a focus on high-level robot deliberation and autonomous decision-making. His most cited work, "A BDI Architecture for High Level Robot Deliberation" (2010, 19 citations), introduces a Belief-Desire-Intention (BDI) agent architecture that provides mobile soccer robots with sophisticated reasoning capabilities. This architecture is built on a layered system, where each layer corresponds to a different level of abstraction in robotic specification, enabling robots to make intelligent decisions in dynamic environments. Tucat's foundational contributions include designing cognitive architectures for the RoboCup E-League competition, as detailed in his 2004 work on cognitive robotics in a soccer game domain. He also addressed practical perception and action challenges in robot soccer, documented in his Spanish-language publication "Soluciones a problemas de percepción y acción en el dominio de un equipo de fútbol de robots" (2004, 2 citations), which describes solutions for robots competing in the 2004 RoboCup world championship. His work bridges theoretical cognitive architectures with real-world robotic applications, advancing the field of autonomous agents and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1A BDI Architecture for High Level Robot Deliberation19 citations · 2010
- 2
- 3