Papers
14
Total Citations
309
H-Index
7
About
Carlos Carrascosa is a leading researcher in multi-agent systems (MAS) and robotics, whose work bridges the gap between autonomous decision-making and human-robot interaction. His foundational contributions include the development of the ARTIS agent architecture, a hybrid multi-agent framework for real-time problem-solving that integrates reactive and deliberative behaviors—a concept he has refined over two decades, from mobile robot control (2000) to flexible architectures like SPADE (2023). With over 110 citations for his seminal 2006 paper on hybrid MAS, Carrascosa’s impact is profound. He is also a pioneer in socially aware robotics, notably creating an emotional robot assistant (2018, 65 citations) that uses verbal and non-verbal cues to facilitate human interaction and persuasion. His recent work extends into ambient intelligence, where he designed a deliberative context-aware system for assisted living homes (2023), and agri-robotics, proposing a multi-agent digital twin architecture for dynamic fleet simulation (2023). Through frameworks like EJaCalIVE for emotional virtual environments and studies on social emotion detection with NAO robots, Carrascosa consistently advances the integration of cognitive and emotional intelligence into autonomous systems, making him a key figure in shaping the future of intelligent, sociable robots.
Research Focus
Key Achievements
Top Papers
- 1Hybrid multi-agent architecture as a real-time problem-solving model110 citations · 2006
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- 3An execution time planner for the ARTIS agent architecture36 citations · 2007
- 4Applying the ARTIS Agent Architecture to Mobile Robot Control23 citations · 2000
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- 10Detecting Social Emotions with a NAO Robot5 citations · 2016