Alfons Crespo
Papers
17
Total Citations
106
H-Index
5
About
Alfons Crespo has pioneered the integration of real-time systems with autonomous mobile robotics, focusing on how robots can make intelligent, timely decisions in unpredictable environments. His work centers on behavioral architectures for robotic control, particularly the YAIR architecture and its successors, which enable robots to flexibly select and sequence behaviors based on changing conditions. Crespo’s research uniquely bridges real-time computing constraints with high-level cognitive functions, including emotional modulation of robotic behavior—as seen in his RTEA (Real-Time Emotional Agent) architecture, where artificial emotions influence motivation and action selection. His most cited paper, “Flexible real-time mobile robotic architecture based on behavioural models” (21 citations), established a framework for combining timing-critical activities with deliberative planning. Other influential works address robot planning using decomposition and prediction (14 citations) and massively parallel dynamics computation. Crespo has also explored hardware implementations using FPGAs and pervasive service robots, demonstrating practical pathways from theory to deployment. His contributions are foundational for researchers building robots that must operate safely and adaptively in human environments, where both real-time guarantees and behavioral flexibility are essential.
Research Focus
Key Achievements
Top Papers
- 1Flexible real-time mobile robotic architecture based on behavioural models21 citations · 2001
- 2Behaviour Selection in the YAIR Architecture17 citations · 1997
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- 9Emotional robot control architecture implementation using FPGAs3 citations · 2016
- 10Real-time Embedded Architecture for improving Pervasive Robot Services3 citations · 2016