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Autonomous dry stone

Ryan Luke Johns, Martin Wermelinger, Ruben Mascaro, Dominic Jud, Fabio Gramazio, Matthias Köhler, Margarita Chli, Marco Hutter

发表年份
2020
引用次数
60
访问权限
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摘要

Abstract On-site robotic construction not only has the potential to enable architectural assemblies that exceed the size and complexity practical with laboratory-based prefabrication methods, but also offers the opportunity to leverage context-specific, locally sourced materials that are inexpensive, abundant, and low in embodied energy. We introduce a process for constructing dry stone walls in situ, facilitated by a customized autonomous hydraulic excavator. Cabin-mounted LiDAR sensors provide for terrain mapping, stone localization and digitization, and a planning algorithm determines the placement position of each stone. As the properties of the materials are unknown at the beginning of construction, and because error propagation can hinder the efficacy of pre-planned assemblies with non-uniform components, the structure is planned on-the-fly: the desired position of each stone is computed immediately before it is placed, and any settling or unexpected deviations are accounted for. We present the first result of this geometric- and motion-planning process: a 3-m-tall wall composed of 40 stones with an average weight of 760 kg.

关键词

ExcavatorPrefabricationComputer scienceLeverage (statistics)TerrainProcess (computing)Context (archaeology)DigitizationPosition (finance)Settling

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