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Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Matheus Alves earned a Bachelor's degree in Computer Science from the University of São Paulo in October 2020, with a focus on Data Science. Shortly after completing his undergraduate studies and due to his experience, in January 2021, Matheus began his doctoral studies at Lancaster University in the United Kingdom. He defended his thesis in early 2024, addressing topics on Artificial Intelligence, with a primary focus on online planning for intelligent robots. Throughout his research journey, Matheus has been involved in various projects and areas of expertise, developing proficiency in Artificial Intelligence, Machine Learning, Statistical Modeling, Robotics, Multi-agent Robotics, etc. Recognised for his research work, he has published in renowned international conferences and journals such as Knowledge-Based Systems, AAMAS, JAAMAS, and NeurIPS. Additionally, Matheus also possesses good communication skills and is adept at teamwork, actively seeking collaborations to contribute to technological advancements in solving everyday problems. (Source: Lattes Curriculum)
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Research on mobile robots focused on solving problems in environments where humans and robots coexist has attracted significant public and private investments in recent years. In this context, deploying heterogeneous fleets of intelligent and autonomous robots has demonstrated clear advantages, particularly when performing tasks in hazardous or hard-to-reach areas for humans. These system…
Currently, the development of smart devices has gained importance in the most diverse scenarios, creating environments shared physically and logically by the physical systems and multiagents (devices) that compose them. The problem is that most of these systems and agents are not designed to communicate with each other, making it hard to implement these systems and to optimize the target …
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