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Robotics in Industry and Intelligent Systems

At CRIIS, we work closely with Companies, other Institutes and Universities, following the motto from Research and Development to Innovation, Design, Prototyping and Implementation.

At our Centre, we address the following main research areas: Navigation and Localisation of Mobile Robots, Intelligent Sensors and Control of Dynamical Systems, 2D/3D Industrial Vision and Advanced Sensing, Mobile Manipulators, Special Structures and Architectures for Robots, Human Robot Interfacing and Augmented Reality, Future Industrial Robotics and Collaborative Robots, Vertical Integration, IoT, and Industry 4.0.

Latest News
Industry and Innovation

New project of adaptive and modular robotic systems for palletisation

INESC TEC, through the Centre for Robotics in Industry and Intelligent Systems (CRIIS) and the Centre for Enterprise Systems Engineering (CESE), promotes the AdaptPack project, together with the company JPM - Industrial Automation and INEGI (Institute of Science and Innovation in Mechanical and Industrial Engineering).

18th January 2018

Industry and Innovation

New project to develop an IoT pilot for production systems

INESC TEC hosted, on 6 and 7 November, the kick-off meeting of project FASTEN - Flexible and Autonomous Manufacturing Systems for Custom-Designed Products, which has a budget of €3,1M and an expected duration of three years.

12th January 2018

Industry and Innovation

Secretary of State of Industry visits INESC TEC

On 27 November, INESC TEC received the visit of the Secretary of State of Industry, Ana Teresa Lehmann, and José Sequeira, member of the same Cabinet. The goal of this visit was to present the work developed by INESC TEC and the future challenges for the industry.

05th December 2017

Industry and Innovation

INESC TEC project in metallic structure soldering

Teve lugar, no passado dia 22 de setembro, nas instalações da NORFER, a demonstração final do projeto CoopWeld - Robotized system for welding in structural steel fabrication, que contou com a participação do Centro de Robótica Industrial e Sistemas Inteligentes (CRIIS) do INESC TEC.

19th October 2017

INESC TEC wants to increase water use efficiency in agriculture

Increasing water use efficiency and resilience in agriculture, and monitoring soil and water in order to reduce pollution, are the challenges facing INESC TEC as part of its new project called AGRINUPES.

19th December 2016

Interest Topics
027

Featured Projects

RIDDIG-1

Fábrica Digital

2017-2017

SistemaDPA

Sistema DPA para Espalhador de Estrume (sem ISOBUS) e Análise Química (NIR sensor) para Cisterna em Ambiente ISOBUS.

2017-2017

MANUFACTUR4.0

Desenvolvimento e implementação de tecnologias inteligentes e inovadoras nos setores industriais naval e metalomecânico

2017-2017

AGRINUPES

Integrated monitoring and control of water, nutrients and plant protection products towards a sustainable agricultural sector

2017-2017

Palcus

Sistema de Controlo de Máquinas Cénicas

2017-2017

ROMOVI

ROMOVI: Robô Modular e cooperativo para Vinhas de encosta

2017-2019

ScalABLE4.0

Scalable automation for flexible production systems

2017-2020

UnVirtual

Serviço de engenharia e desenvolvimento de robôs para jogo Unvirtual

2017-2017

BIOTECFOR

Bionegócios e Tecnologia para a valorização eficiente dos recursos florestais endógenos no Norte de Portugal e Galiza

2017-2017

DM4Manufacturing

DM4Manufacturing: Aligning Manufacturing Decision Making with Advanced Manufacturing Technologies

2016-2019

SmartFarming-1

Ferramenta avançada para operacionalização da agricultura de precisão

2016-2018

SmartFarming

Ferramenta avançada para operacionalização da agricultura de precisão

2016-2016

AdaptPack

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

2016-2019

ATM

Advanced tools management

2016-2018

Inspectum

Sistema de Visão Artificial para Inspeção de Marcações Típicas em Pneus

2016-2017

TRiHo

RDH - Robot de Distribuição Hospitalar

2016-2018

PrecisionCork

PRECISIONcork - Medida e Controlo em Linha de Parâmetros Chave de Processo e de Qualidade de Produto

2016-2018

Water4Ever

Sustainable management of water resources in agriculture, forestry and freshwater aquaculture sectors (Step 2)

2016-2019

ColRobot

Collaborative Robotics for Assembly and Kitting in Smart Manufacturing

2016-2019

TEXTILPRINT

Desenvolvimento e programação de um novo sensor de resina, programação de cabeças de impressão, apoio ao desenvolvimento de software de monitorização e diagnóstico remoto a instalar nas máquinas de impressão textil

2016-2017

CoopWeld

Robótica colaborativa para soldadura de componentes em construção metálica

2015-2017

iMAN

iMAN - Intelligence for advanced Manufacturing systems

2015-2018

Submarino_Whale

Elaboração do projeto técnico de um dispositivo de controlo pneumático para equilíbrio hidrostático de um submersível

2015-2015

AutoClassII

Automatic Classification and Quality Control for Car Tires

2015-2017

FOCUS

Advances in FOrestry Control and aUtomation Systems in Europe

2014-2016

CLARISSA

The European Robotics Initiative for Strengthening the Competitiveness of SMEs in Manufacturing by integrating aspects of cognitive systems

2014-2016

STAMINA

Sustainable and reliable robotics for part handling in manufacturing automation

2013-2017

Team
003

Laboratories

Laboratory of Industrial Robotics and Automation

Laboratory of Mobile Robotics and Internal Logistics

Laboratory of Robotics for Agriculture and Forestry

Publications

CRIIS Publications

View all Publications

2018

Landmark detection for docking tasks

Authors
Ferreira, F; Sobreira, H; Veiga, G; Moreira, A;

Publication
Advances in Intelligent Systems and Computing

Abstract
For docking manoeuvres, the detection of the objects to dock needs to be precise as the minimum deviation from the objective may lead to the failure of this task. The objective of this article is to test possible ways to detect a landmark using a laser rangefinder for docking manoeuvres. We will test a beacon-based localisation algorithm and an algorithm based on natural landmarks already implemented, however, we will apply modifications to such methods. To verify the possibility of docking using these methods, we will conduct experiments with a real robot. © Springer International Publishing AG 2018.

2018

Robot localization system in a hard outdoor environment

Authors
Conceição, T; dos Santos, FN; Costa, P; Moreira, AP;

Publication
Advances in Intelligent Systems and Computing

Abstract
Localization and mapping of autonomous robots in a hard and unstable environment (Steep Slope Vineyards) is a challenging research topic. Typically, the commonly used dead reckoning systems can fail due to the harsh conditions of the terrain and the Global Position System (GPS) accuracy can be considerably noisy or not always available. One solution is to use wireless sensors in a network as landmarks. This paper evaluates a ultra-wideband time-of-flight based technology (Pozyx), which can be used as cost-effective solution for application in agricultural robots that works in harsh environment. Moreover, this paper implements a Localization Extended Kalman Filter (EKF) that fuses odometry with the Pozyx Range measurements to increase the default Pozyx Algorithm accuracy. © Springer International Publishing AG 2018.

2018

Flexible work cell simulator using digital twin methodology for highly complex systems in industry 4.0

Authors
Tavares, P; Silva, JA; Costa, P; Veiga, G; Moreira, AP;

Publication
Advances in Intelligent Systems and Computing

Abstract
The continuous evolution in manufacturing processes has attracted substantial interest from both scientific and research community, as well as from industry. Despite the fact that streamline manufacturing relies on automation systems, most production lines within the industrial environment lack a flexible framework that allows for evaluation and optimisation of the manufacturing process. Consequently, the development of a generic simulators able to mimic any given workflow represent a promising approach within the manufacturing industry. Recently the concept of digital twin methodology has been introduced to mimic the real world through a virtual substitute, such as, a simulator. In this paper, a solution capable of representing any industrial work cell and its properties is presented. Here we describe the key stages of such solution which has enough flexibility to be applied to different working scenarios commonly found in industrial environment. © 2018, Springer International Publishing AG.

2018

The K-framed quadtrees approach for path planning through a known environment

Authors
Rodrigues, A; Costa, P; Lima, J;

Publication
Advances in Intelligent Systems and Computing

Abstract
One of the most important tasks for a mobile robot is to navigate in an environment. The path planning is required to design the trajectory that generates useful motions from the original to the desired position. There are several methodologies to perform the path planning. In this paper, a new method of approximate cells decomposition, called K-Framed Quadtrees is present, to which the algorithm A ? is applied to determine trajectories between two points. To validate the new approach, we made a comparative analysis between the present method, the grid decomposition, quadtree decomposition and framed quadtree decomposition. Results and implementation specifications of the four methods are presented. © 2018, Springer International Publishing AG.

2018

Path planning for automatic recharging system for steep-slope vineyard robots

Authors
Santos, L; dos Santos, FN; Mendes, J; Ferraz, N; Lima, J; Morais, R; Costa, P;

Publication
Advances in Intelligent Systems and Computing

Abstract
Develop cost-effective ground robots for crop monitoring in steep slope vineyards is a complex challenge. The terrain presents harsh conditions for mobile robots and most of the time there is no one available to give support to the robots. So, a fully autonomous steep-slope robot requires a robust automatic recharging system. This work proposes a multilevel system that monitors a vineyard robot autonomy, to plan off-line the trajectory to the nearest recharging point and dock the robot on that recharging point considering visual tags. The proposed system called VineRecharge was developed to be deployed into a cost-effective robot with low computational power. Besides, this paper benchmarks several visual tags and detectors and integrates the best one into the VineRecharge system. © Springer International Publishing AG 2018.

Supervised Theses

2016

Desenvolvimento de um sistema wearable para a monitorização da taxa de alcoolemia

Author
Ana Patrícia Queirós Gomes

Institution
UTAD

2016

The Use of Thermal Infra-red Imaging to Reveal Muscle Injuries Caused by Physically Demanding Jobs in Industrial Operations

Author
Selma Renata Almeida Pinho

Institution
UP-FEUP

2016

A utilização de QRCode na indústria vinícola

Author
Afonso de Sousa Ferreira Gomes

Institution
UTAD

2016

Sistema integrado, adaptativo e inteligente para a gestão energética de robôs

Author
Nuno André Ferreira Ferraz

Institution
UTAD

2016

Perceção visual semântica de uma vinha para auxilio à navegação de robôs

Author
Jorge Miguel Ferreira da Silva Mendes

Institution
UTAD

Facts & Figures

21Academic Staff

2017

5R&D Employees

2017