Augusto Loureiro da Costa

Universidade Federal da Bahia, Universidade Salvador

Papers

9

Total Citations

29

H-Index

3

About

Augusto Loureiro da Costa is a leading researcher in cognitive robotics and multi-agent systems, with a focus on bridging the gap between reactive control and high-level symbolic reasoning. His most influential work, "From Reactive to Cognitive Agents" (2013, 7 citations), introduces a novel methodology that integrates Reinforcement Learning with Knowledge-Based Systems, enabling agents to autonomously generate symbolic knowledge bases from environmental interactions. This foundational contribution has shaped how autonomous systems learn and reason. Costa has also made significant strides in formation control, sensor fusion, and real-time embedded systems for mobile robotics, including a low-cost microprocessed controller for omnidirectional robots (2011, 3 citations). His work on cooperative multi-agent systems and cognitive architectures, such as the Concurrent Autonomous Agent deployed on a NAO humanoid robot (2015, 2 citations), demonstrates his commitment to advancing intelligent, collaborative robots. Additionally, his MecaTeam framework (2008, 2 citations) streamlined the development of simulated soccer agents for RoboCup, reflecting his impact on both theoretical and applied robotics. With a career spanning from dynamic social knowledge (2002) to distributed NMPC (2015), Costa’s research continues to influence the design of adaptive, knowledge-driven autonomous systems.

Research Focus

Key Achievements

3
H-Index
9
Papers
29
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
From Reactive to Cognitive Agents: Extending Reinforcement Learning to Generate Symbolic Knowledge Bases
7 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Universidade Federal da Bahia, Universidade Salvador

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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