Augusto Loureiro da Costa
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
Top Papers
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- 4Real-time microprocessed system applied to mobile robots control3 citations · 2011
- 5COOPERATIVE MOBILE ROBOTS: A COGNITIVE MULTI-AGENT APPROACH3 citations · 2006
- 6Dynamic Social Knowledge: The Timing Evidence2 citations · 2002
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