INESC TEC
INESC TEC
INESC TEC
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Paulo José Costa

Paulo José Costa

Senior Researcher

Paulo Costa received the M.Sc. and PhD in Electrical and Computer Engineering on Faculty of Engineering of University of Porto, Portugal in 95 and 2000. He joined Faculty of Engineering of University of Porto in 1992, and currently he is a Professor in the Electrical Engineering Department.
He is also a senior researcher in Centre for Robotics in Industry and Intelligent Systems group of the INESC-TEC (Institute for Systems and Computer Engineering of Porto, Portugal). He has published more than a hundred papers in international scientific journals and conference proceedings. In addition, he participated in many autonomous mobile robotics competitions. Moreover, his research interests are in the field of robotics and automation: simulation, path planning, artificial vision, mobile robot localization and navigation, obstacle avoidance and perception. He participated in some national, International and H2020 funded projects such as PRODUTECH SIF, ScalABLE4.0, CARLoS and PNEUMA.

Domains

Publications

A Comparison of PID Controller Architectures Applied in Autonomous UAV Follow up of UGV

Bonzatto, L Jr;Berger, GS;Braun, J;Pinto, MF;dos Santos, MF;Junior, AO;Nowakowski, M;Costa, P;Wehrmeister, MA;Lima, J;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition

Klein, LC;Mendes, J;Braun, J;Martins, FN;de Oliveira, AS;Costa, P;Wörtche, H;Lima, J;

2024

OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT II, OL2A 2023

A nonlinear mobile robot modeling applied to a model predictive controller

Conceição, AS;Moreira, AP;Costa, PJ;

2009

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, March 9-12, 2009

Humanoid Robot Simulation with a Joint Trajectory Optimized Controller

Lima, JL;Goncalves, JC;Costa, PG;Moreira, AP;

2008

2008 IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, PROCEEDINGS

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Supervised Theses

A User-centric Approach to Locomotion Supporting Systems

Diana Alves Lobo Guimarães

D - 2019

UP-FEUP

Hybrid Legged-Wheeled Locomotion System for Robotic Vehicles

Vítor Hugo Machado Oliveira Pinto

D - 2019

UP-FEUP

Robô Móvel para Vigilância

António Maria Amorim Aguiar de Araújo Correia

M - 2019

UP-FEUP

Hybrid Legged-Wheeled Locomotion System for Robotic Vehicles

Vítor Hugo Machado Oliveira Pinto

D - 2020

UP-FEUP

See more supervised theses

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

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