Daniel Castro Silva
Papers
5
Total Citations
54
H-Index
4
About
Daniel Castro Silva is a researcher at the forefront of multi-robot systems and agent-oriented software engineering. His work focuses on developing flexible, high-level languages and robust architectural models that enable coordinated, intelligent behavior in robotic teams. A key contribution is the creation of a flexible language for mission description, which allows complex multi-robot operations to be defined and executed with greater clarity and adaptability (20 citations). He has also pioneered the use of the GAIA methodology to design a generic meta-model for robotic agent systems, providing a reusable framework for agent-based development (14 citations). Demonstrating the practical application of his work, Silva applied model-based collaborative filtering techniques to the domain of simulated robotic soccer, creating a system that recommends optimal strategies by analyzing game statistics to defeat opponents (11 citations). Additionally, he introduced the Disturbance Description Language (DDL), an XML-based tool for modeling anomalous events in robotic scenarios, enhancing system robustness. His research bridges theoretical design and tangible implementation, offering essential tools for advancing autonomous multi-agent systems.
Research Focus
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Top Papers
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