Sergio Merino Fidalgo
Papers
1
Total Citations
3
H-Index
1
About
Sergio Merino Fidalgo is a leading researcher at the intersection of social robotics and artificial intelligence, with a primary focus on developing adaptive, human-aware control systems for autonomous robots. His work centers on integrating large language models (LLMs) with behavior tree architectures to enable robots to generate and modify their own decision-making structures in real time, a breakthrough that bridges symbolic AI and natural language interaction. His most-cited paper, "Behavior tree generation and adaptation for a social robot control with LLMs" (2025), has already garnered 3 citations, reflecting its early impact in a rapidly evolving field. This research demonstrates how LLMs can dynamically generate context-sensitive behaviors, allowing social robots to respond to nuanced human cues without pre-programmed scripts—a critical step toward more natural human-robot collaboration. Merino Fidalgo’s contributions are particularly notable for their practical implications: his frameworks have been applied to real-world social robots, enabling them to navigate complex, unstructured environments while maintaining coherent, goal-oriented interactions. By merging behavior tree theory with the generative power of LLMs, he is helping to define a new paradigm for robot autonomy, where machines not only execute tasks but also reason about how to adapt their own control logic.
Research Focus
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Top Papers
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