Andry Maykol Gomes Pinto

Andry Maykol Pinto concluded the Doctoral Program in Electrical and Computer Engineering with thesis related to Robotics, from the Faculty of Engineering of the University of Porto, in 2014. At the same institution, he obtained a Master in Engineering Electrotechnical and Computers in 2010. Currently, he works as a Senior Researcher at the Center for Robotics and Autonomous Systems at INESC TEC and as an Assistant Professor at the Faculty of Engineering of the University of Porto.

Domains

Robotics and Autonomous Systems

Projects

DIIUS

Distributed perceptIon for inspectIon of aqUatic Structures

ATLANTIS

The ATLANTIS project represents a pioneering initiative at the forefront of technological innovation in the offshore renewable energy sector. Aimed at revolutionizing the field of robotics technology, ATLANTIS focuses on advancing autonomous systems for enhanced operations and maintenance (O&M) in offshore wind farms. Leveraging cutting-edge advancements in artificial intelligence, robotics, and multimodal sensor fusion, the project seeks to overcome existing limitations and introduce groundbreaking solutions for the inspection, monitoring, and maintenance of offshore assets. By developing state-of-the-art autonomous platforms, ATLANTIS aims to boost efficiency, reduce costs, and improve safety standards within the offshore industry, contributing significantly to the sustainable growth of renewable energy initiatives across Europe and beyond.

The Atlantic Testing Platform for Maritime Robotics: New Frontiers for Inspection and Maintenance of Offshore Energy Infrastructures

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Publications

Artificial Intelligence for Automated Marine Growth Segmentation

Carvalho, J;Leite, PN;Mina, J;Pinho, L;Gonçalves, EP;Pinto, AM;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

Nautilus: An autonomous surface vehicle with a multilayer software architecture for offshore inspection

Campos, DF;Goncalves, EP;Campos, HJ;Pereira, MI;Pinto, AM;

2024

JOURNAL OF FIELD ROBOTICS

An Adaptive Velocity Obstacle Avoidance Algorithm for Autonomous Surface Vehicles

Campos, DF;Matos, A;Pinto, AM;

2019

IEEE International Conference on Intelligent Robots and Systems

Reinforcement learning based robot navigation using illegal actions for autonomous docking of surface vehicles in unknown environments

Pereira, MI;Pinto, AM;

2024

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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Supervised theses

Planejamentode preensão adaptável: uma nova arquitetura de Pipeline de agarramento unificado e modular

João Pedro Carvalho de Souza

UTAD-ECT

Centres

Robotics and Autonomous Systems

The Centre for Robotics and Autonomous Systems (CRAS) focuses on developing innovative robotic solutions for operation in complex environments. Each day, our researchers strive to map the unknown, creating solutions to explore the oceans’ depths, monitor the environment, or inspect infrastructures. Our goal? To become a global reference in robotics and autonomous systems, combining expertise in multisensory perception and 3D modelling, navigation and control, robotic manipulation and intervention - pushing the boundaries of autonomous robotics and integrating aerial, ground, and underwater robots into our solutions. Focusing on Technology Readiness Levels (TRL) between 5 and 8, CRAS develops prototypes and operational solutions for strategic sectors. Our laboratory infrastructure includes test tanks, prototyping workshops, and a wide range of equipment ready to operate in real-world environments. Our researchers also resort to Mar Profundo, a support vessel for testing and validating innovative maritime technologies - a key asset in bridging theoretical design and field validation. CRAS stands out for a practical approach: we combine advanced research with a strong focus on real-world applications, reducing human risk in hazardous missions, optimising operations and processes, and expanding the frontiers of autonomous robotics.