Pedro Nuno

Domains

Artificial Intelligence Robotics

Projects

ATLANTIS

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

AEROSUB

Publications

Detecting Docking-based Structures for Persistent ASVs using a Volumetric Neural Network

Pereira, MI;Leite, PN;Pinto, AM;

2020

GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST

A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments

Pereira, MI;Leite, PN;Pinto, AM;

2021

MARINE TECHNOLOGY SOCIETY JOURNAL

Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network

Leite, PN;Pinto, AM;

2021

IEEE ACCESS

Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures

Pereira, MI;Claro, RM;Leite, PN;Pinto, AM;

2021

IEEE ACCESS

View all publications

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.