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About

Arnau Carrera is a leading researcher in autonomous robotics, with a focus on task planning, fault tolerance, and multi-vehicle collaboration. His most influential work, "ROSPlan: Planning in the Robot Operating System" (2015, 223 citations), introduced a groundbreaking framework that integrates task planning into the widely used Robot Operating System (ROS), enabling modular and distributed decision-making for complex robotic systems. This contribution has become a cornerstone for researchers and engineers building autonomous robots. Carrera has also made significant strides in underwater robotics, particularly with Autonomous Underwater Vehicles (AUVs). His work on "Online discovery of AUV control policies to overcome thruster failures" (2014, 19 citations) proposes a learning-based approach to dynamically adapt control policies during thruster failures, enhancing the reliability and persistent autonomy of AUVs. Additionally, his research on multi-vehicle collaboration for salinity studies in the Mar Menor Coastal Lagoon (2012, 12 citations) and valve turning using Learning by Demonstration (2013, 9 citations) demonstrates his ability to tackle real-world intervention tasks. More recently, Carrera has explored trust in autonomous systems (2022, 2 citations), highlighting his commitment to advancing safe and dependable robotics.