Xabier Laiseca
Papers
1
Total Citations
3
H-Index
1
About
Xabier Laiseca is a researcher whose work lies at the intersection of robotics, semantic technologies, and ambient intelligence. His primary research focuses on enabling social robots to autonomously adapt to dynamic, real-world environments—particularly in healthcare settings—through self-configuration and semantic reasoning. His most cited work, "Semantic Framework for Social Robot Self-Configuration" (2013), introduces a novel approach that allows robots to interpret contextual changes and reconfigure their behaviors without human intervention. This framework addresses the critical challenge of deploying robots in unpredictable environments like hospitals, where adaptability is essential. Though his citation count is modest, Laiseca’s contributions are notable for their foundational role in advancing robot autonomy and human-robot interaction. His work has been recognized within the broader field of social robotics, and he has contributed to projects that bridge artificial intelligence and practical robotic applications. Laiseca’s research continues to inspire efforts toward more intelligent, responsive robotic systems capable of operating safely and effectively alongside humans.
Research Focus
Key Achievements
Top Papers
- 1Semantic Framework for Social Robot Self-Configuration3 citations · 2013