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About

Albert Figueras is a pioneering researcher in multi-agent robotics and autonomous systems, with a career spanning over two decades. His work primarily focuses on developing intelligent decision-making structures for robot teams, addressing challenges in coordination, control, and real-world deployment. Figueras made early contributions to the field through his work on micro-robots playing soccer, implementing a multi-agent decision-making framework that laid groundwork for complex industrial applications. His research on non-holonomic robots in sliding situations applies AI algorithms to solve motion control problems, while his studies on robot fleet sizing for rescue missions provide mathematical models for optimizing disaster response. Notably, Figueras co-developed the EDUROV program, a low-cost, sustainable educational initiative for remotely operated underwater vehicles, launched in 2012 with support from PLOCAN and VICOROB. This program has made marine robotics accessible to students and researchers worldwide. With papers cited across robotics, AI, and education, Figueras’s impact is evident in his foundational work on robot team coordination, supervision of heterogeneous controllers, and interval PI velocity control. His research continues to influence autonomous systems, from urban maintenance to rescue operations, demonstrating a commitment to both theoretical advancement and practical, educational applications.