https://ethz.ch/en/news-and-events/eth-news/news/2023/11/autonomous-excavator-constructs-a-six-metre-high-dry-stone-wall.html * Press Enter to activate screen reader mode. * Homepage * Navigation * Search * Content * Footer * Contact * Sitemap Logo of ETH Zurich, to homepage Header Main Navigation Menu * Homepage * News & events * ETH Zurich * Studies at ETH Zurich * Doctorate * Research * Industry & Knowledge Transfer * Campus --------------------------------------------------------------------- Services * Student portal * Alumni association * Staffnet * Contact * lock Login Search search en [en] Departments * ETH Zurich * Select a department [Departments ] Language Selection * en [English] You are here * Homepage chevron_right * News & events chevron_right * ETH News chevron_right * All articles chevron_right * 2023 chevron_right * November chevron_right * Autonomous excavator constructs a six-metre-high dry-stone wall Autonomous excavator constructs a six-metre-high dry-stone wall * Robotics * Research ETH Zurich researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tonnes and demolition debris. 22.11.2023 by Michael Walther * mode_comment Number of comments * [P7wmotyKgX] By playing the video you accept the privacy policy of YouTube.Learn more OK (Video: ETH Zurich / Girts Apskalns) In brief * Until today, dry stone wall construction has involved vast amounts of manual labour. * A multidisciplinary team of ETH Zurich researchers developed a method of using an autonomous excavator to construct a dry-stone wall that is six metres high and sixty-five metres long. * Dry stone walls are resource efficient as they use locally sourced materials, such as concrete slabs that are low in embodied energy. ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a six metre-high and sixty-five-metre-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park. The team of researchers included: Gramazio Kohler Research, the Robotics Systems Lab, Vision for Robotics Lab, and the Chair of Landscape Architecture. They developed this innovative design application as part of the National Centre of Competence in Research for Digital Fabrication (NCCR dfab). Using sensors, the excavator can autonomously draw a 3D map of the construction site and localise existing building blocks and stones for the wall's construction. Specifically designed tools and machine vision approaches enable the excavator to scan and grab large stones in its immediate environment. It can also register their approximate weight as well as their centre of gravity. An algorithm determines the best position for each stone, and the excavator then conducts the task itself by placing the stones in the desired location. The autonomous machine can place 20 to 30 stones in a single consignment - about as many as one delivery could supply. Enlarged view: The excavator in front of the built wall. The Excavator picks and scans each boulder to be placed in the correct position. Circularity Park in Oberglatt, Eberhard AG. (Photograph: ETH Zurich / Marc Schneider) Reference Johns RL, Wermelinger M, Mascaro R, Jud D, Hurkxkens I, Vasey L, Chli M, Gramazio F, Kohler M, Hutter M: A framework for robotic excavation and dry stone construction using on-site materials, Science Robotics, 22 November 2023, DOI: external page10.1126/scirobotics.abp9758 call_made Further information * internal page chevron_right Gramazio Kohler Research Group * internal page chevron_right HEAP * internal page chevron_right Robotic Embankment Protoype Newsletter subscription internal page chevron_right Get the latest ETH News everyday Similar topics * Research * Robotics * Landscape architecture * Engineering sciences Footer Recommended links * Media information Search Keyword or person [ ] search Follow us * RSS * Facebook * Twitter * Instagram * YouTube * LinkedIn Services * Student portal * Alumni association * Staffnet * Contact * lock Login Departments * D-ARCH Architecture * D-BAUG Civil, Environmental and Geomatic Engineering * D-BIOL Biology * D-BSSE Biosystems Science and Engineering * D-CHAB Chemistry and Applied Biosciences * D-ERDW Earth Sciences * D-GESS Humanities, Social and Political Sciences * D-HEST Health Sciences and Technology * D-INFK Computer Science * D-ITET Information Technology and Electrical Engineering * D-MATH Mathematics * D-MATL Department of Materials * D-MAVT Mechanical and Process Engineering * D-MTEC Management, Technology and Economics * D-PHYS Physics * D-USYS Environmental Systems Science Table of contents and legal * Sitemap * Imprint * Accessibility Statement * Disclaimer & Copyright * Data protection (c) 2023 Eidgenossische Technische Hochschule Zurich JavaScript has been disabled in your browser