Mario Brito

Papers

Total Citations

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About

Mario Brito is a leading researcher in risk and reliability engineering for autonomous marine systems, with a particular focus on autonomous underwater vehicles (AUVs) and multi-vehicle operations. His most cited work, "Risk-based path planning for autonomous underwater vehicles in an oil spill environment" (2022, 38 citations), introduces a novel framework that integrates real-time risk assessment into AUV navigation, enabling safer and more efficient missions in hazardous, unpredictable underwater environments. This contribution is critical for applications such as environmental monitoring and offshore oil spill response. Brito’s earlier foundational paper, "Risk and reliability modelling for multi-vehicle marine domains" (2016, 10 citations), established key methodologies for quantifying failure probabilities in complex, multi-AUV missions—drawing parallels to high-risk robotics like Mars rovers. More recently, his work on "Industry Led Use-Case Development for Human-Swarm Operations" (2022) explores the operational and communication challenges of autonomous robotic swarms, bridging the gap between theoretical swarm intelligence and real-world industrial deployment. Through his research, Brito has significantly advanced the safety, reliability, and practical viability of autonomous marine systems, making him a pivotal figure in the field.