“…Our design process generally begins with a map captured by surveying equipment or by aerial or excavator-mounted LiDAR. Incorporating considerations like building codes, slope stability, and drainage, the design model can be generated by signed distance functions that operate directly on the height map, using operators based on input points, paths, and areas with parametric connections to specified locations, dimensions, slopes, and volumes (73). The excavation planner is initialized using this designed height map, together with a design line that is aligned with the general shape of the embankment, tangential to the digging direction (Fig.…”
Automated building processes that enable efficient in situ resource utilization can facilitate construction in remote locations while simultaneously offering a carbon-reducing alternative to commonplace building practices. Toward these ends, we present a robotic construction pipeline that is capable of planning and building freeform stone walls and landscapes from highly heterogeneous local materials using a robotic excavator equipped with a shovel and gripper. Our system learns from real and simulated data to facilitate the online detection and segmentation of stone instances in spatial maps, enabling robotic grasping and textured 3D scanning of individual stones and rubble elements. Given a limited inventory of these digitized stones, our geometric planning algorithm uses a combination of constrained registration and signed-distance-field classification to determine how these should be positioned toward the formation of stable and explicitly shaped structures. We present a holistic approach for the robotic manipulation of complex objects toward dry stone construction and use the same hardware and mapping to facilitate autonomous terrain-shaping on a single construction site. Our process is demonstrated with the construction of a freestanding stone wall (10 meters by 1.7 meters by 4 meters) and a permanent retaining wall (65.5 meters by 1.8 meters by 6 meters) that is integrated with robotically contoured terraces (665 square meters). The work illustrates the potential of autonomous heavy construction vehicles to build adaptively with highly irregular, abundant, and sustainable materials that require little to no transportation and preprocessing.
“…Our design process generally begins with a map captured by surveying equipment or by aerial or excavator-mounted LiDAR. Incorporating considerations like building codes, slope stability, and drainage, the design model can be generated by signed distance functions that operate directly on the height map, using operators based on input points, paths, and areas with parametric connections to specified locations, dimensions, slopes, and volumes (73). The excavation planner is initialized using this designed height map, together with a design line that is aligned with the general shape of the embankment, tangential to the digging direction (Fig.…”
Automated building processes that enable efficient in situ resource utilization can facilitate construction in remote locations while simultaneously offering a carbon-reducing alternative to commonplace building practices. Toward these ends, we present a robotic construction pipeline that is capable of planning and building freeform stone walls and landscapes from highly heterogeneous local materials using a robotic excavator equipped with a shovel and gripper. Our system learns from real and simulated data to facilitate the online detection and segmentation of stone instances in spatial maps, enabling robotic grasping and textured 3D scanning of individual stones and rubble elements. Given a limited inventory of these digitized stones, our geometric planning algorithm uses a combination of constrained registration and signed-distance-field classification to determine how these should be positioned toward the formation of stable and explicitly shaped structures. We present a holistic approach for the robotic manipulation of complex objects toward dry stone construction and use the same hardware and mapping to facilitate autonomous terrain-shaping on a single construction site. Our process is demonstrated with the construction of a freestanding stone wall (10 meters by 1.7 meters by 4 meters) and a permanent retaining wall (65.5 meters by 1.8 meters by 6 meters) that is integrated with robotically contoured terraces (665 square meters). The work illustrates the potential of autonomous heavy construction vehicles to build adaptively with highly irregular, abundant, and sustainable materials that require little to no transportation and preprocessing.
“…An iterative robotic fabrication process can overcome these issues (Bar-Sinai et al, 2019). However, due to the intrinsic complexity of the reality on-site, robotic fabrication in landscape architecture has lagged behind other fields like architecture and infrastructure engineering (Hurkxkens, 2020).…”
Section: Robotic Fabrication In Landscape Architecturementioning
confidence: 99%
“…Although the current on-site robotic construction techniques in landscape architecture aim at planning and horizontal grading through the optimization of material flow (Bock & Linner 1995) with the use of GIS guidance systems (Petschek 2014), a more sensitive approach to the local topological and material circumstances is required for landscape architecture (Hurkxkens et al, 2017).…”
Section: Robotic Fabrication In Landscape Architecturementioning
SIGraDi 2022. Critical Appropriations es la XXVI Conferencia Internacional de la Sociedad Iberoamericana de Gráfica Digital, organizada por la Facultad de Arquitectura de la Universidad Peruana de Ciencias Aplicadas (UPC) y SIGraDi. Este volumen contiene los artículos seleccionados por el comité científico de SIGraDi, los cuales fueron presentados en línea entre el 9 y 11 de noviembre de 2022, además, a partir de estos trabajos se desarrollaron10 talleres y un taller para doctorandos. SIGraDi 2022. Apropiaciones Críticas se organizó en 7 tópicos y 30 subtópicos, como culturas de la programación, robótica y fabricación digital, BIM, diseño bio inspirado, educación digital. Una publicación de difusión e intercambio de ideas sobre Arquitectura, Diseño, Arte y disciplinas asociadas.
“…Her various models, ranging in materials and layout helped in this dual translation. Her solution rests on the municipality's diggers that will transform sand into designed shapes and harden the sand through sustainable chemical solutions (see Hurkxkens, 2020), then fitted with 2D perforated textile sheets for shading. Thus, each temporary construction crumbles back at the end of the day, allowing for different shapes the next day, according to varying needs and the number of different visitors.…”
Prototypes are useful beyond usability testing; they're a strategic tool to drive alignment, to communicate value and vision, and to get digital products built correctly in a more efficient manner. They help teams move quickly by making instead of swirling in ideas. Through her work at IBM and currently as a Creative Director at the digital product design agency, argodesign, Kathryn Marinaro has found that the best practical uses for prototypes are for qualitative and strategic purposes. In this keynote, Kathryn will share her experience creating and utilizing prototypes to generate ideas with subject matter experts, to understand resonance and value with endusers, to explore new interaction models for emerging technology, and to communicate visions to stakeholders who control the direction of a product. She'll share examples of prototypes used throughout the process of the programs she leads and their outcomes and impact. Prototypes aren't just for testing, they're for delivering value.Kathryn Marinaro is an award-winning Creative Director who envisions the future and develops products and strategies for a wide variety of clients at argodesign. She is the author of Prototyping for Designers, published by O'Reilly, and has employed user-centered methodologies to create and iterate on impactful experiences in health wearables, AI interaction patterns, AI image recognition and training interfaces, and cloud development tools, while working on world-class design teams like IBM Watson Visioneering and IBM Mobile Innovation Lab. She has gained recognition as one of Austin's Top 50 Female UX Designers and as part of the Advisory Board for the inaugural Austin Design Week. She's been featured in articles in Fast
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