Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks

The introduction of robotics and machine learning to architectural construction is leading to more efficient construction practices. So far, robotic construction has largely been implemented on standardized materials, conducting simple, predictable, and repetitive tasks. We present a novel mobile ro...

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Bibliographic Details
Published in:	IEEE robotics and automation letters Vol. 7; no. 2; pp. 5749 - 5756
Main Authors:	Kalousdian, Nicolas Kubail, Lochnicki, Grzegorz, Hartmann, Valentin N., Leder, Samuel, Oguz, Ozgur S., Menges, Achim, Toussaint, Marc
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	AI-enabled robotics Assembly Automation Bamboo Bending Curricula Hardware hardware-software integration in robotics Machine learning Manufacturing engineering Mechanical properties Mobile robots Robotics robotics and automation in construction Robots Task analysis Transportation
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
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