INESC TEC
INESC TEC
INESC TEC
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Pedro Gomes Costa

Pedro Gomes Costa

Born at Porto, Portugal, April  6, 1973, received the M.Sc.in Electrical and Computer Engineering on Faculty of Engineering of University of Porto, Portugal in 1999. He obtained a Ph.D. in Electrical and Computer Engineering on Faculty of Engineering of University of Porto in the area of Control and Robotics, with the thesis “Planning Cooperative tasks and trajectories in Multiple Robots” in 2011. Presently he is a Professor at Computers and Electrical Engineering Department of the Oporto University. He is also a researcher in Robotic and Intelligent Systems of the INESC-TEC (Institute for Systems and Computer Engineering of Porto, Portugal). His research interests are in the ï¬�eld of robotics and automation: path planning, obstacle avoidance, simulation, navigation, manipulator, mobile manipulators. 

Publications

Control of a Mobile Robot Through VDA5050 Standard

Brilhante, M;Rebelo, PM;Oliveira, PM;Sobreira, H;Costa, P;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE ADVANCES IN ROBOTICS, VOL 1

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

Rebelo, PM;Lima, J;Soares, SP;Oliveira, PM;Sobreira, H;Costa, P;

2024

SENSORS

5dpo Team Description

Costa, PG;Sousa, A;Marques, P;Costa, P;Gaio, S;Moreira, AP;

2001

RoboCup 2001: Robot Soccer World Cup V

5dpo team description

Costa, P;Moreira, A;Sousa, A;Marques, P;Costa, P;Matos, A;

2000

ROBOCUP-99: ROBOT SOCCER WORLD CUP III

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Supervised theses

Integrated Renewable Storage Systems Under Artificial Intelligence Decision Models

Tiago João Amorim Abreu

D - 2023

UP-FEUP

Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems