Implementação de um sistema de preparação de obras para a indústria de caixilharia em alumínio

Pretende-se com esta comunicação expor como foi implementado um sistema de preparação de obras em caixilharia de alumínio utilizando fichas técnicas (FT) desenvolvidas para a empresa STRUALBI. A indústria metalomecânica, debate-se com a dificuldade de standarização dos seus produtos para a construção civil, uma vez que a precisão desta é na ordem dos centímetros em comparação com os milímetros usados na indústria de caixilharia. Na fase de iniciação de uma obra, surge a necessidade de fazer medições de todos os vãos. Estas medições foram acompanhadas no terreno, sendo paralelamente desenvolvida a FT de medições. Na fase posterior à medição e com base na FT de medições são preenchidas as restantes fichas técnicas, fazendo-se assim uma preparação conveniente das obras. Constitui-se assim o processo da obra, através das fichas técnicas do Alumínio, do Vidro (enchimentos), dos Estores e Persianas e a FT dos Acessórios. Este visa a identificação, a organização e o bom desenrolar da obra. O trabalho desenvolvido para a empresa STRUALBI tem como objectivo a preparação da empresa para a utilização de programas informáticos de Controlo da Produção

Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions

Welcome to ROBOTICA 2009. This is the 9th edition of the conference on Autonomous Robot Systems and Competitions, the third time with IEEE‐Robotics and Automation Society Technical Co‐Sponsorship. Previous editions were held since 2001 in Guimarães, Aveiro, Porto, Lisboa, Coimbra and Algarve. ROBOTICA 2009 is held on the 7th May, 2009, in Castelo Branco , Portugal. ROBOTICA has received 32 paper submissions, from 10 countries, in South America, Asia and Europe. To evaluate each submission, three reviews by paper were performed by the international program committee. 23 papers were published in the proceedings and presented at the conference. Of these, 14 papers were selected for oral presentation and 9 papers were selected for poster presentation. The global acceptance ratio was 72%. After the conference, eighth papers will be published in the Portuguese journal Robótica, and the best student paper will be published in IEEE Multidisciplinary Engineering Education Magazine. Three prizes will be awarded in the conference for: the best conference paper, the best student paper and the best presentation. The last two, sponsored by the IEEE Education Society ‐ Student Activities Committee. We would like to express our thanks to all participants. First of all to the authors, whose quality work is the essence of this conference. Next, to all the members of the international program committee and reviewers, who helped us with their expertise and valuable time. We would also like to deeply thank the invited speaker, Jean Paul Laumond, LAAS‐CNRS France, for their excellent contribution in the field of humanoid robots. Finally, a word of appreciation for the hard work of the secretariat and volunteers. Our deep gratitude goes to the Scientific Organisations that kindly agreed to sponsor the Conference, and made it come true. We look forward to seeing more results of R&D work on Robotics at ROBOTICA 2010, somewhere in Portugal

Ontology based robot reasoning in the elderly care domain - the EUROAGE projects

This paper describes the actions developed and currently in development within the EUROAGE projects related to the ontology-based robot reasoning in the elderly care domain. Recent ontology-based standards were developed (IEEE 1872-2015; IEEE 1872.2-2021; IEEE 7007-2021), and others are currently in development (IEEE P1872.1; IEEE P1872.3) to improve robot performance while executing tasks. This is a very hot topic in current standardization efforts worldwide. The elderly care domain has special characteristics related to interactions with humans and robots living in the same workspace. As such, robots must also commit to social and ethical norms (IEEE 7007-2021). The robot and the actions it can perform in such interactions are defined according to the IEEE 1872-2015. Moreover, a semantic map of the environment was developed (using some concepts from the IEEE 1872.2- 2021) where the robot can interact with the elder and the sensors in the smart home. In this environment, an ontology-based platform was developed that allows the robot to interact with the objects, e.g., to pick a cell phone or bottle of water, using semantic information from that environment to solve demanded tasks. Ongoing efforts are underway to thoroughly add to the reasoning framework of the previously stated standards and the concepts from the IEEE 7007-2021 to ensure that the robot's actions are ethically and socially correct.info:eu-repo/semantics/publishedVersio

Inovação Didática no Ensino Superior através do Projeto ROBOT@ESCOLA: escola de robótica

A Robótica é uma área multidisciplinar que tem contribuído significativamente no processo educativo dos jovens nos últimos anos. O modelo pedagógico de aprender fazendo é uma alavanca fundamental para cativar e manter os alunos interessados nas áreas tecnológicas. O projeto ROBOT@ESCOLA – Escola de Robótica, foi desenvolvido com base em componentes básicos para a construção de robôs, plataformas Arduino para programação, bem como dispositivos móveis com sistemas operativos Android, tornando a experimentação de ciência e tecnologia acessível a todos. O projeto foi desenvolvido em parceria com várias instituições de ensino da região da Beira Interior. Desta cooperação resultou uma plataforma robótica (kit) direcionada para a vertente educativa. Este kit de robótica móvel, pode ser utilizado pelos alunos para aprender a lógica dos sistemas programados, interagir com sensores e atuadores, e perceber os fenómenos físicos associados aos diversos tipos de sensores. Além dos aspetos introdutórios, o projeto possibilita explorar vários temas científicos de nível avançado. No artigo é apresentada a prática pedagógica associada à plataforma robótica, que inclui a definição do público-alvo, a metodologia pedagógica, e a avaliação para o caso de estudo apresentado, a unidade curricular de Programação de Computadores. Conclui-se através da experiência adquirida com o projeto que o uso da robótica como recurso de ensino favorece o raciocínio lógico, criatividade e relacionamento interpessoal.Fundação para a Ciência e Tecnologia, Ciência Viva. 122 /ID/2014 -Partilha e Divulgação de Experiências em Inovação Didática no Ensino Superior Português. UID/EMS/50022/2013, through FCT, under LAETA/IDMEC/CSIinfo:eu-repo/semantics/publishedVersio

Knowledge and tasks representation for an industrial robotic application

The paper presents an implementation of knowledge representation and task representation, based on ontologies for an Industrial Robotic Application. The industrial application is to insert up to 56 small pins, e.g., sealants, in a harness box terminal for the automotive industry. The number of sealants and their insertion pattern vary significantly with the production requests. Based on the knowledge representation of the robot and also based on the tasks to be performed, plans are built and then sent to the robot controller based on the seal pattern production order. Moreover, the robotic system is capable to perform re-planning when an insertion error is reported by a machine vision system. The ontology-based approach was used to define the robot, the machine vision system, and the tasks that were needed to be performed by the robotic system. The robotic system was validated experimentally by showing its capability to correct seal insertion errors, while re-planning.info:eu-repo/semantics/publishedVersio

Ontological framework to improve motion planning of manipulative agents through semantic knowledge-based reasoning

This paper describes the actions taken in developing a framework that aims to improve the motion planning of a manipulative robotic agent through reasoning based on semantic knowledge. The Semantic Web Rule Language (SWRL) was employed to draw new insights from the existing information about the robotic system and its environment. Recent ontology-based standards have been developed (IEEE 1872-2015; IEEE 1872.2-2021; IEEE 7007-2021), and others are currently under development (IEEE P1872.1; IEEE P1872.3) to improve robot performance in task execution. Ontological knowledge “semantic map" was generated using a deep neural network trained to detect and classify objects in the environment where the manipulator agent acts. Manipulation constraints were deduced, and the environment corresponding to the agent’s manipulation workspace was created so the planner could interpret it to generate a collision-free path. Several SPARQL queries were used to explore the semantic map and allow ontological reasoning. The proposed framework was implemented and validated in a real experimental setting, using the ROSPlan planning framework to perform the planning tasks. This ontology-based framework proved to be a promising strategy. E.g., it allows the robotic manipulative agent to interact with objects, e.g., to choose a mobile phone or a water bottle, using semantic information from the environment to solve the requested tasks.This work is financed by national funds through FCT - Foundation for Science and Technology, I.P., through IDMEC, under LAETA, project UIDB/50022/2020. The work of Rodrigo Bernardo was supported by the PhD Scholarship BD/6841/2020 from FCT. This work has received funding from: the project 0770_EUROAGE2_4_E (POCTEP Programa Interreg V-A Spain-Portugal), and the European Union’s Horizon 2020 programme under StandICT.eu 2023 (under Grant Agreement No.: 951972).info:eu-repo/semantics/publishedVersio

Uncalibrated eye-to-hand visual servoing using inverse fuzzy models

(c) 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.A new uncalibrated eye-to-hand visual servoing based on inverse fuzzy modeling is proposed in this paper. In classical visual servoing, the Jacobian plays a decisive role in the convergence of the controller, as its analytical model depends on the selected image features. This Jacobian must also be inverted online. Fuzzy modeling is applied to obtain an inverse model of the mapping between image feature variations and joint velocities. This approach is independent from the robot's kinematic model or camera calibration and also avoids the necessity of inverting the Jacobian online. An inverse model is identified for the robot workspace, using measurement data of a robotic manipulator. This inverse model is directly used as a controller. The inverse fuzzy control scheme is applied to a robotic manipulator performing visual servoing for random positioning in the robot workspace. The obtained experimental results show the effectiveness of the proposed control scheme. The fuzzy controller can position the robotic manipulator at any point in the workspace with better accuracy than the classic visual servoing approach.info:eu-repo/semantics/publishedVersio

Ontology for autonomous robotics

Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology’s strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.info:eu-repo/semantics/publishedVersio

Proceedings of the 1st Standardized Knowledge Representation and Ontologies for Robotics and Automation Workshop

Welcome to IEEE-ORA (Ontologies for Robotics and Automation) IROS workshop. This is the 1st edition of the workshop on! Standardized Knowledge Representation and Ontologies for Robotics and Automation. The IEEE-ORA 2014 workshop was held on the 18th September, 2014 in Chicago, Illinois, USA. In!the IEEE-ORA IROS workshop, 10 contributions were presented from 7 countries in North and South America, Asia and Europe. The presentations took place in the afternoon, from 1:30 PM to 5:00 PM. The first session was dedicated to “Standards for Knowledge Representation in Robotics”, where presentations were made from the IEEE working group standards for robotics and automation, and also from the ISO TC 184/SC2/WH7. The second session was dedicated to “Core and Application Ontologies”, where presentations were made for core robotics ontologies, and also for industrial and robot assisted surgery ontologies. Three posters were presented in emergent applications of ontologies in robotics. We would like to express our thanks to all participants. First of all to the authors, whose quality work is the essence of this workshop. Next, to all the members of the international program committee, who helped us with their expertise and valuable time. We would also like to deeply thank the IEEE-IROS 2014 organizers for hosting this workshop. Our deep gratitude goes to the IEEE Robotics and Automation Society, that sponsors! the IEEE-ORA group activities, and also to the scientific organizations that kindly agreed to sponsor all the workshop authors work

Controlo visual de um tapete-rolante

No presente artigo é apresentado o trabalho realizado no Laboratório de Sistemas Industriais, onde se pretende controlar a passagem de objectos num tapete rolante através de visão por computador. O sistema desenvolvido consiste num tapete rolante accionado por um servo motor da OMRON, com transmissão por correia. O controlo do servo motor é realizado por computador através de uma placa da National Instruments PCI-7344 com o adaptador UMI-7764. O sistema de visão consiste numa placa Matrox Meteor II e uma câmara CCD a cores. Pretende-se controlar a velocidade do tapete em função do numero de objectos a identificar e do tempo de processamento do anel de visão. Para tal foi necessário calibrar o sistema de visão, baseado num PC- Pentium II a 350 MHz com 32 Mb de RAM, tendo o software sido desenvolvido em Visual C++. O sistema de controlo encontra-se centralizado num PC-Pentium III a 850 MHz com 128 Mb de RAM, tendo o software sido desenvolvido no programa LABVIE