Papers
2
Total Citations
27
H-Index
2
About
Pedro Cabrera is a leading researcher in multi-robot systems and human-robot teaming, with a particular focus on adjustable autonomy frameworks. His most influential work, the Multiagent Adjustable Autonomy Framework (MAAF), introduced a pioneering approach for coordinating heterogeneous teams of robots and humans during complex tactical maneuvers. This framework, detailed in his 2008 paper (25 citations), addresses the critical challenge of dynamically balancing control between autonomous agents and human operators to maximize team performance and safety. Cabrera’s contributions have laid foundational groundwork for scalable, flexible human-robot collaboration in high-stakes environments. Beyond his technical innovations, he plays a key role in advancing the Spanish automation community, having chaired the XLIII Jornadas de Automática in 2022, the flagship event of the Comité Español de Automática (CEA). His work bridges theoretical advances with practical deployment, making him a vital figure in the evolution of autonomous systems. Cabrera’s research continues to inspire new generations of engineers tackling the complexities of multi-agent coordination and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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