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ColRobot

About Project

Collaborative Robotics for Assembly and Kitting in Smart Manufacturing

Project ColRobot’s main objective is to combine cutting-edge European robot technology and end-user requirements for assembly processes to create an integrated system for collaborative robotics in which a mobile manipulator acts as a “third hand” by delivering kits, tools, parts, and holding work pieces while the operator works on them. Humans will cognitively and physically interact with ColRobot robots using gestures, touch commands and demonstrations. The robot will be able to navigate autonomously in the factory floor to pick up the required parts and tools, and prepare kits for assembly. A safety system that pushes the limits of standardisation in collaborative robotics supervises the process. The project findings will be validated in 2 demonstrators in real operational environment at the end-users’ facilities, one in the automotive industry - Renault SAS -, and another in the aerospace industry - Thales Alenia Space France.

Acronym

ColRobot

Responsible

Germano Manuel Correia dos Santos Veiga

Status

Closed

Start

January 1, 2016

End

January 31, 2019

Effective End

January 31, 2019

Global Budget

€3,914,493.38

Financing

€399,000.00

Website

Members

Team Leaders

Germano Veiga

Germano Veiga is a Mechanical Engineer with a PhD in Mechanical Engineering (Robotics and Automation) (2010) by the University of Coimbra. In 2005 he was an invited researcher at the University of Lund, Sweden, and was a researcher (2002-2011) and Invited Professor (2007-2011) at the University of Coimbra.He is now Senior Researcher at INESC TEC, in Porto, and from 2016 is Auxiliar Professor at the Faculty of Engineering of the University of Porto.His research interests are mostly focused on future industrial robotics including, plug-and-produce technologies, robot programming, mobile manipulators and Human Robot Interfacing. During his PhD studies Germano was part of the FP6 SMErobot team (2005-2009) and later became member of the Exec. Committee of the FP7 ECHORD project (2009-2012)More recently Germano became the coordinator of the INESC-TEC team participating in the projects FP7-CARLoS, FP7-STAMINA, FP7-SMErobotics, H2020-ColRobot.Since January 2017 he is the Coordinator of the H2020 ScalABLE4.0 project.

Team Members

Armando Sousa

Pedro Gomes Costa

Carlos Miguel Costa

Rafael Lírio Arrais

Cláudia Daniela Rocha

Paulo Miranda Rebelo

António Paulo Moreira

Héber Miguel Sobreira

Germano Veiga

Luís Freitas Rocha

Associated 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.