Mariano Tucat

Universidad Nacional del Sur

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

2
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A BDI Architecture for High Level Robot Deliberation
19 citations · 2010
📈 Most Prolific Year: 2004 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Universidad Nacional del Sur

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
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