10 research outputs found
Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation
Mechatronics and Robotics (MaR) have recently gained importance in product development and manufacturing settings and applications. Therefore, the Center for Space Emerging Technologies (C-SET) has managed an international multi-disciplinary study to present, historically, the first Latin American general review of industrial, collaborative, and mobile robotics, with the support of North American and European researchers and institutions. The methodology is developed by considering literature extracted from Scopus, Web of Science, and Aerospace Research Central and adding reports written by companies and government organizations. This describes the state-of-the-art of MaR until the year 2023 in the 3 Sub-Regions: North America, Central America, and South America, having achieved important results related to the academy, industry, government, and entrepreneurship; thus, the statistics shown in this manuscript are unique. Also, this article explores the potential for further work and advantages described by robotic companies such as ABB, KUKA, and Mecademic and the use of the Robot Operating System (ROS) in order to promote research, development, and innovation. In addition, the integration with industry 4.0 and digital manufacturing, architecture and construction, aerospace, smart agriculture, artificial intelligence, and computational social science (human-robot interaction) is analyzed to show the promising features of these growing tech areas, considering the improvements to increase production, manufacturing, and education in the Region. Finally, regarding the information presented, Latin America is considered an important location for investments to increase production and product development, taking into account the further proposal for the creation of the LATAM Consortium for Advanced Robotics and Mechatronics, which could support and work on roboethics and education/R+D+I law and regulations in the Region. Doi: 10.28991/ESJ-2023-07-04-025 Full Text: PD
Negotiated materialization: Design approaches integrating wood heterogeneity through advanced robotic fabrication
Whilst robots are predictable, repetitive, predefined and constant, natural materials present unpredictable complexity. Over the past few centuries, materials have been standardized to fit industrial processes, in an attempt to defy this unpredictability. Thanks to new advances in sensing technologies and computational design, today we have the opportunity to reintegrate the intrinsic properties of natural materials in their full complexity. What is the potential of a synthesis between the particularity of each specific material element—specific properties and parameters—informing the fabrication process? Digital and Robotic Fabrication are based on the use of flexible machines that open the possibility to mass-customize the production process. Combined with sensors and computational analysis, they allow to work with “soft systems”, both adaptable and continuously evolving, whose dynamism is constantly fed by a flow of information. How can the designer integrate this uncertainty and complexity in the design process? In this paper the authors specifically discuss the management of structural and material tolerance inherent to large scale construction and anisotropic materials, such as wood. A series of projects developed and built at the Institute for Advanced Architecture of Catalonia and the Bartlett School of Architecture are used as case studies to investigate tolerance management in Digital Fabrication with different kinds of wood
Automating building element detection for deconstruction planning and material reuse: A case study
To address the need for a shift from a linear to a circular economy in the built environment, this paper develops a semi-automated assistive process for planning building material deconstruction for reuse using sensing and scanning, Scan-to-BIM, and computer vision techniques. These methods are applied and tested in a real-world case study in Geneva, Switzerland, with a focus on reconstruction and recovery analysis for floor beam systems. First, accessible sensing and scanning tools, such as mobile photography and smartphone-based consumer-grade Lidar devices, are used to capture imagery and other data from an active demolition site. Then, photogrammetry and point cloud data analysis are performed to construct a 3D BIM model of relevant areas. The structural relationships between reconstructed BIM elements are evaluated to score the feasibility for recovery of each element. This study illustrates what is feasible and where further development is necessary for automating building material reuse planning at scale to increase the uptake of circular economy practices in the construction sector.Design & Construction Managemen
Digitizing the Building Site for Restoration Projects: From ALM Technologies to Innovative Material Scenarios.
The ongoing synergy between the digitization of the building process and new paradigms related to the production of architectural constructions and building elements addresses the definition of new scenarios that are worth inves- tigating. The recurring question, indeed, is how the most advanced digital tech- niques for material production can have a tangible impact on architecture and its morphological languages. In the field of building design, the chance to turn digital data into matter repre- sents a key point to deal with, in order to demonstrate the possibility to transfer actual benefits from other sectors related to the construction industry. This new technical asset links the digitization of processes with the industrialization of building products. The present research aims at deepening the opportunity of Additive Layer Manufacturing technologies, alongside the current Building Information Modeling and parametric design methods, to push further the hitherto established decision- making rules and the conventional building site organization, towards sustainable development