João Pedro Souza

Electrical engineering formation with an emphasis on electronic systems and a master's in electrical engineering from the Federal University of Juiz de Fora, his training allowed him to have competence in the area of digital and analog electronics. However, the central area of expertise is robotics in which he is since 2012 as a researcher and promoted his master's degree. He is currently R&D and develops research in the robotics area at the Institute of Systems and Computer Engineering, Technology and Science - INESC TEC. He has experience in several R&D projects that he developed in Brazil and Portugal. Expertise areas, experience, and skills include the creation of firmware, middleware and software, embedded systems, control techniques, and artificial and computational intelligence. Development of robots, autonomous unmanned aerial vehicles, autonomous systems, robotic manipulators, industrial robotics, and sensing (computer vision and 3D perception).

Domains

Robotics in Industry and Intelligent Systems Robotics

Projects

AdaptPack

Project datasheet

Desenvolvimento de sistemas robóticos de paletização adaptativos e modulares de elevada flexibilidade

AI4RWeld

Welding is one of the traditional applications of industrial robots. However, its application to flexible automated productions is still limited. The main reasons are the limitations in robot programming and parametrization. The AI4R.WELD pilot, selected as a winner project in the ZDMP Open Call 2, combines automatic robot collision free program generation with advance sensing and machine learning for welding parametrization. The approach is human-centric and innovative promoting its usage and standardisation for welding application in a wide range of application areas. Fast and intuitive welding parametrization is the missing link for truly effective robotized welding. This project has received cascading funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825631. https://www.zdmp.eu/ http://www.sarkkis.com/mechatronics/rd/ongoing-projects/zdmp-ai4r-weld/

AI for Robotic Welding Parametrization and Inspection

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Publications

EKF design for online trajectory prediction of a moving object detected onboard of a UAV

Pinto, MF;Coelho, FO;De Souza, JPC;Melo, AG;Marcato, ALM;Urdiales, C;

2018

13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Proceedings

BAT Algorithm aplicado à localização de robôs móveis

Braga, AdF;De Souza, JPC;Coelho, FdO;Marcato, ALM;

2020

Principia: Caminhos da Iniciação Científica

Hybrid Methodology for Path Planning and Computational Vision Applied to Autonomous Mission: A New Approach

Coelho, FO;Pinto, MF;Souza, JPC;Marcato, ALM;

2020

ROBOTICA

Autonomous Landing of UAV Based on Artificial Neural Network Supervised by Fuzzy Logic

Carvalho de Souza, JPC;Marques Marcato, ALM;de Aguiar, EP;Juca, MA;Teixeira, AM;

2019

JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS

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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.