CRIIS - Indexed Articles in Journals

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Browsing CRIIS - Indexed Articles in Journals by Author "5655"
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    AdaptPack Studio: an automated intelligent framework for offline factory programming
    ( 2020) João Pedro Souza ; Manuel Santos Silva ; Luís Freitas Rocha ; Castro,AL ; 5655 ; 7366 ; 5364
    Purpose This paper aims to propose an automated framework for agile development and simulation of robotic palletizing cells. An automatic offline programming tool, for a variety of robot brands, is also introduced. Design/methodology/approach This framework, named AdaptPack Studio, offers a custom-built library to assemble virtual models of palletizing cells, quick connect these models by drag and drop, and perform offline programming of robots and factory equipment in short steps. Findings Simulation and real tests performed showed an improvement in the design, development and operation of robotic palletizing systems. The AdaptPack Studio software was tested and evaluated in a pure simulation case and in a real-world scenario. Results have shown to be concise and accurate, with minor model displacement inaccuracies because of differences between the virtual and real models. Research limitations/implications An intuitive drag and drop layout modeling accelerates the design and setup of robotic palletizing cells and automatic offline generation of robot programs. Furthermore, A* based algorithms generate collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. As a consequence, industrial solutions are available for production in record time, increasing the competitiveness of companies using this tool. Originality/value The AdaptPack Studio framework includes, on a single package, the possibility to program, simulate and generate the robot code for four different brands of robots. Furthermore, the application is tailored for palletizing applications and specifically includes the components (Building Blocks) of a particular company, which allows a very fast development of new solutions. Furthermore, with the inclusion of the Trajectory Planner, it is possible to automatically develop robot trajectories without collisions.
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    Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead
    ( 2021) Oliveira,LFP ; António Paulo Moreira ; Manuel Santos Silva ; 5157 ; 5655
    The constant advances in agricultural robotics aim to overcome the challenges imposed by population growth, accelerated urbanization, high competitiveness of high-quality products, environmental preservation and a lack of qualified labor. In this sense, this review paper surveys the main existing applications of agricultural robotic systems for the execution of land preparation before planting, sowing, planting, plant treatment, harvesting, yield estimation and phenotyping. In general, all robots were evaluated according to the following criteria: its locomotion system, what is the final application, if it has sensors, robotic arm and/or computer vision algorithm, what is its development stage and which country and continent they belong. After evaluating all similar characteristics, to expose the research trends, common pitfalls and the characteristics that hinder commercial development, and discover which countries are investing into Research and Development (R&D) in these technologies for the future, four major areas that need future research work for enhancing the state of the art in smart agriculture were highlighted: locomotion systems, sensors, computer vision algorithms and communication technologies. The results of this research suggest that the investment in agricultural robotic systems allows to achieve short—harvest monitoring—and long-term objectives—yield estimation.
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    Advances in Forest Robotics: A State-of-the-Art Survey
    ( 2021) Oliveira,LFP ; António Paulo Moreira ; Manuel Santos Silva ; 5157 ; 5655
    The development of robotic systems to operate in forest environments is of great relevance for the public and private sectors. In this sense, this article reviews several scientific papers, research projects and commercial products related to robotic applications for environmental preservation, monitoring, wildfire firefighting, inventory operations, planting, pruning and harvesting. After conducting critical analysis, the main characteristics observed were: (a) the locomotion system is directly affected by the type of environmental monitoring to be performed; (b) different reasons for pruning result in different locomotion and cutting systems; (c) each type of forest, in each season and each type of soil can directly interfere with the navigation technique used; and (d) the integration of the concept of swarm of robots with robots of different types of locomotion systems (land, air or sea) can compensate for the time of executing tasks in unstructured environments. Two major areas are proposed for future research works: Internet of Things (IoT)-based smart forest and navigation systems. It is expected that, with the various characteristics exposed in this paper, the current robotic forest systems will be improved, so that forest exploitation becomes more efficient and sustainable.
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    Autonomous wheelchair for patient’s transportation on healthcare institutions
    ( 2021) André Rodrigues Baltazar ; Marcelo Petry ; Manuel Santos Silva ; António Paulo Moreira ; 5157 ; 5240 ; 5655 ; 7458
    AbstractThe transport of patients from the inpatient service to the operating room is a recurrent task in a hospital routine. This task is repetitive, non-ergonomic, time consuming, and requires the labor of patient transporters. In this paper is presented a system, named Connected Driverless Wheelchair, that can receive transportation requests directly from the hospital information management system, pick up patients at their beds, navigate autonomously through different floors, avoid obstacles, communicate with elevators, and drop patients off at the designated operating room. As a result, a prototype capable of transporting patients autonomously in hospital environments was obtained. Although it was impossible to test the final developed system at the hospital as planned, due to the COVID-19 pandemic, the extensive tests conducted at the robotics laboratory facilities, and our previous experience in integrating mobile robots in hospitals, allowed to conclude that it is perfectly prepared for this integration to be carried out. The achieved results are relevant since this is a system that may be applied to support these types of tasks in the future, making the transport of patients more efficient (both from a cost and time perspective), without unpredictable delays and, in some cases, safer.
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    CPPS 101 - A Tutorial Introduction on Cyber-Physical Production Systems
    ( 2021) Pinto,R ; Gonçalves,G ; Aschenbrenner,D ; Rusak,Z ; Marcelo Petry ; Manuel Santos Silva ; 5655 ; 5240
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    Gerber File Parsing for Conversion to Bitmap Image–The VINCI7D Case Study
    ( 2022) Ricardo Barbosa Sousa ; Cláudia Daniela Rocha ; Hélio Mendonça ; António Paulo Moreira ; Manuel Santos Silva ; 1434 ; 5157 ; 5655 ; 6709 ; 7908
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    Latest Advances on AI and Robotics Applications
    ( 2022) Manuel Santos Silva ; 5655
    The applications of artificial intelligence and robotics, their associated technologies, and their integration continue to grow and are seen in more and more diverse fields. With these considerations in mind, this issue of the Journal of Artificial Intelligence and Technology presents five state-of-the-art peer-reviewed contributions, ranging from theory to prototyping, and covering several distinct application topics.
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    On the development of a collaborative robotic system for industrial coating cells
    ( 2021) Rafael Lírio Arrais ; Carlos Miguel Costa ; Ribeiro,P ; Luís Freitas Rocha ; Manuel Santos Silva ; Germano Veiga ; 5364 ; 6164 ; 6551 ; 5655 ; 5674
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    An overview of pruning and harvesting manipulators
    ( 2022) Vítor Tinoco ; Manuel Santos Silva ; Filipe Neves Santos ; António Valente ; Luís Freitas Rocha ; Sandro Augusto Magalhães ; Luís Carlos Santos ; 5364 ; 5655 ; 5762 ; 7150 ; 7481 ; 8387 ; 5552
    Purpose The motivation for robotics research in the agricultural field has sparked in consequence of the increasing world population and decreasing agricultural labor availability. This paper aims to analyze the state of the art of pruning and harvesting manipulators used in agriculture. Design/methodology/approach A research was performed on papers that corresponded to specific keywords. Ten papers were selected based on a set of attributes that made them adequate for review. Findings The pruning manipulators were used in two different scenarios: grapevines and apple trees. These manipulators showed that a light-controlled environment could reduce visual errors and that prismatic joints on the manipulator are advantageous to obtain a higher reach. The harvesting manipulators were used for three types of fruits: strawberries, tomatoes and apples. These manipulators revealed that different kinematic configurations are required for different kinds of end-effectors, as some of these tools only require movement in the horizontal axis and others are required to reach the target with a broad range of orientations. Originality/value This work serves to reduce the gap in the literature regarding agricultural manipulators and will support new developments of novel solutions related to agricultural robotic grasping and manipulation.
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    SCARA Self Posture Recognition Using a Monocular Camera
    ( 2022) Vítor Tinoco ; Manuel Santos Silva ; Filipe Neves Santos ; Morais,R ; Vitor Manuel Filipe ; 5655 ; 8387 ; 5843 ; 5552