CRIIS - Indexed Articles in Conferences

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Browsing CRIIS - Indexed Articles in Conferences by Author "5364"
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    AdaptPack Studio: Automatic Offline Robot Programming Framework for Factory Environments
    ( 2019) João Pedro Souza ; Manuel Santos Silva ; Luís Freitas Rocha ; Castro,A ; 5655 ; 7366 ; 5364
    The brisk and dynamic environment that factories are facing, both as an internal and an external level, requires a collection of handy tools to solve emerging issues in the industry 4.0 context. Part of the common challenges that appear are related to the increasing demand for high adaptability in the organizations' production lines. Mechanical processes are becoming faster and more adjustable to the production diversity in the Fast Moving Consumer Goods (FMCG). Concerning the previous characteristics, future factories can only remain competitive and profitable if they have the ability to quickly adapt all their production resources in response to inconstant market demands. Having previous concerns in focus, this paper presents a fast and adaptative framework for automated cells modeling, simulation and offline robot programming, focused on palletizing operations. Established as an add-on for the Visual Components (VC) 3D manufacturing simulation software, the proposed application allows performing fast layout modeling and automatic offline generation of robot programs. Furthermore, A* based algorithms are used for generating collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. The software evaluation was tested inside the VC simulation world and in the real-world scenario. Results have shown to be concise and accurate, with minor displacement inaccuracies due to differences between the virtual model and the real world. © 2019 IEEE.
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    Automatic generation of disassembly sequences and exploded views from solidworks symbolic geometric relationships
    ( 2018) Carlos Miguel Costa ; Thomas,U ; Cardoso,HL ; Oliveira,EC ; Luís Freitas Rocha ; Armando Sousa ; Germano Veiga ; 6164 ; 5152 ; 5364 ; 5674
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    Autonomous Robot Navigation for Automotive Assembly Task: An Industry Use-Case
    ( 2019) Héber Miguel Sobreira ; Germano Veiga ; António Paulo Moreira ; Rodrigues,F ; Lima,J ; Luís Freitas Rocha ; 5364 ; 5424 ; 5674 ; 5157
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    Bin Picking Approaches Based on Deep Learning Techniques: A State-of-the-Art Survey
    ( 2022) Cordeiro,A ; Luís Freitas Rocha ; Carlos Miguel Costa ; Pedro Gomes Costa ; Manuel Santos Silva ; 5159 ; 5364 ; 5655 ; 6164
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    Converting Robot Offline Programs to Native Code Using the AdaptPack Studio Translators
    ( 2019) João Pedro Souza ; Manuel Santos Silva ; Relvas,P ; Luís Freitas Rocha ; Castro,A ; 5655 ; 7366 ; 5364
    The increase in productivity is a demand for modern industries that need to be competitive in the actual business scenario. To face these challenges, companies are increasingly using robotic systems for end-of-line production tasks, such as wrapping and palletizing, as a mean to enhance the production line efficiency and products traceability, allowing human operators to be moved to more added value operations. Despite this increasing use of robotic systems, these equipments still present some inconveniences regarding the programming procedure, as the time required for its execution does not meet the current industrial needs. To face this drawback, offline robot programming methods are gaining great visibility, as their flexibility and programming speed allows companies to face the need of successive changes in the production line set-up. However, even with a great number of robots and simulators that are available in market, the efforts to support several robot brands in one software did not reach the needs of engineers. Therefore, this paper proposes a translation library named AdaptPack Studio Translator, which is capable to export proprietary codes for the ABB, Fanuc, Kuka, and Yaskawa robot brands, after their offline programming has been performed in the Visual Components software. The results presented in this paper are evaluated in simulated and real scenarios. © 2019 IEEE.
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    Enhanced Performance Real-Time Industrial Robot Programming by Demonstration using Stereoscopic Vision and an IMU sensor
    ( 2020) Amorim,A ; Vitor Hugo Pinto ; Luís Freitas Rocha ; Moreira,AP ; 6852 ; 5364
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    Force control heuristics for surpassing pose uncertainty in mobile robotic assembly platforms
    ( 2021) Duarte Alão Magalhães ; Paulo Miranda Rebelo ; Carlos Miguel Costa ; Luís Freitas Rocha ; Germano Veiga ; 5364 ; 5674 ; 7077 ; 8275 ; 6164
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    Modeling of video projectors in OpenGL for implementing a spatial augmented reality teaching system for assembly operations
    ( 2019) Rui Pedro Rodrigues ; Thomas,U ; Carlos Miguel Costa ; Germano Veiga ; Armando Sousa ; Luís Freitas Rocha ; Augusto Sousa ; 5674 ; 5364 ; 5152 ; 5579 ; 197 ; 6164
    Teaching complex assembly and maintenance skills to human operators usually requires extensive reading and the help of tutors. In order to reduce the training period and avoid the need for human supervision, an immersive teaching system using spatial augmented reality was developed for guiding inexperienced operators. The system provides textual and video instructions for each task while also allowing the operator to navigate between the teaching steps and control the video playback using a bare hands natural interaction interface that is projected into the workspace. Moreover, for helping the operator during the final validation and inspection phase, the system projects the expected 3D outline of the final product. The proposed teaching system was tested with the assembly of a starter motor and proved to be more intuitive than reading the traditional user manuals. This proof of concept use case served to validate the fundamental technologies and approaches that were proposed to achieve an intuitive and accurate augmented reality teaching application. Among the main challenges were the proper modeling and calibration of the sensing and projection hardware along with the 6 DoF pose estimation of objects for achieving precise overlap between the 3D rendered content and the physical world. On the other hand, the conceptualization of the information flow and how it can be conveyed on-demand to the operator was also of critical importance for ensuring a smooth and intuitive experience for the operator. © 2019 IEEE.
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    Modeling of video projectors in OpenGL for implementing a spatial augmented reality teaching system for assembly operations
    ( 2019) Germano Veiga ; Carlos Miguel Costa ; Rui Pedro Rodrigues ; Augusto Sousa ; Luís Freitas Rocha ; Thomas,U ; Armando Sousa ; 197 ; 5579 ; 5152 ; 5364 ; 5674 ; 6164
    Teaching complex assembly and maintenance skills to human operators usually requires extensive reading and the help of tutors. In order to reduce the training period and avoid the need for human supervision, an immersive teaching system using spatial augmented reality was developed for guiding inexperienced operators. The system provides textual and video instructions for each task while also allowing the operator to navigate between the teaching steps and control the video playback using a bare hands natural interaction interface that is projected into the workspace. Moreover, for helping the operator during the final validation and inspection phase, the system projects the expected 3D outline of the final product. The proposed teaching system was tested with the assembly of a starter motor and proved to be more intuitive than reading the traditional user manuals. This proof of concept use case served to validate the fundamental technologies and approaches that were proposed to achieve an intuitive and accurate augmented reality teaching application. Among the main challenges were the proper modeling and calibration of the sensing and projection hardware along with the 6 DoF pose estimation of objects for achieving precise overlap between the 3D rendered content and the physical world. On the other hand, the conceptualization of the information flow and how it can be conveyed on-demand to the operator was also of critical importance for ensuring a smooth and intuitive experience for the operator.
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    Path Planning Algorithms Benchmarking for Grapevines Pruning and Monitoring
    ( 2019) Sandro Augusto Magalhães ; Filipe Neves Santos ; Rui Costa Martins ; Luís Freitas Rocha ; Brito,J ; 5552 ; 5364 ; 7481 ; 6905
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    Quality Control of Casting Aluminum Parts: A Comparison of Deep Learning Models for Filings Detection
    ( 2023) Luís Freitas Rocha ; Manuel Santos Silva ; Cláudia Daniela Rocha ; Rui Pedro Nascimento ; 5364 ; 5655 ; 6709 ; 9050
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    A Review of Pruning and Harvesting Manipulators
    ( 2021) Vítor Tinoco ; Manuel Santos Silva ; Filipe Neves Santos ; Luís Freitas Rocha ; Sandro Augusto Magalhães ; Luís Carlos Santos ; 7481 ; 5552 ; 5364 ; 7150 ; 5655 ; 8387