Open access
Autor(in)
Alle anzeigen
Datum
2018Typ
- Conference Paper
ETH Bibliographie
yes
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Abstract
Predominately, robotic construction is applied as prefabrication in structured indoor environments with standard building materials. Our work, on the other hand, focuses on utilizing irregular materials found on-site, such as rubble and rocks, for autonomous construction. We present a pipeline to detect arbitrarily placed objects in a scene and form a structure out of the detected objects. The next best stacking pose is selected using a searching method employing gradient descent with ran dom initial orientations, exploiting a physics engine. This approach is validated in an experimental setup using a robotic manipulator by constructing balancing vertical stacks without mortars and adhesives. We show the results of eleven consecutive trials to form such towers autonomously using four arbitrarily in front of the robot placed rocks. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000298048Publikationsstatus
publishedExterne Links
Buchtitel
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)Zeitschrift / Serie
IJCAI International Joint Conference on Artificial IntelligenceSeiten / Artikelnummer
Verlag
Lawrence Erlbaum AssociatesKonferenz
Organisationseinheit
09570 - Hutter, Marco / Hutter, Marco
03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
03708 - Gramazio, Fabio / Gramazio, Fabio
03709 - Kohler, Matthias / Kohler, Matthias
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication
Anmerkungen
RSL; dfab; manipulation; construction; roboticETH Bibliographie
yes
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