Evidence map›Paper›PMID 35155587›Full record

ArticleFrontiers in robotics and AI2021

Robotic Assembly of Timber Structures in a Human-Robot Collaboration Setup.

Aljaz Kramberger, Anja Kunic, Iñigo Iturrate, Christoffer Sloth, Roberto Naboni, Christian Schlette

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aljaz KrambergerThe Maersk McKinney Moller Institute, SDU Robotics, University of Southern Denmark, Odense, Denmark.
Anja KunicCREATE Section for Civil and Architectural Engineering, University of Southern Denmark, Odense, Denmark.
Iñigo IturrateThe Maersk McKinney Moller Institute, SDU Robotics, University of Southern Denmark, Odense, Denmark.
Christoffer SlothThe Maersk McKinney Moller Institute, SDU Robotics, University of Southern Denmark, Odense, Denmark.
Roberto NaboniCREATE Section for Civil and Architectural Engineering, University of Southern Denmark, Odense, Denmark.
Christian SchletteThe Maersk McKinney Moller Institute, SDU Robotics, University of Southern Denmark, Odense, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction sector is investigating wood as a highly sustainable material for fabrication of architectural elements. Several researchers in the field of construction are currently designing novel timber structures as well as novel solutions for fabricating such structures, i.e. robot technologies which allow for automation of a domain dominated by skilled craftsman. In this paper, we present a framework for closing the loop between the design and robotic assembly of timber structures. On one hand, we illustrate an extended automation process that incorporates learning by demonstration to learn and execute a complex assembly of an interlocking wooden joint. On the other hand, we describe a design case study that builds upon the specificity of this process, to achieve new designs of construction elements, which were previously only possible to be assembled by skilled craftsmen. The paper provides an overview of a process with different levels of focus, from the integration of a digital twin to timber joint design and the robotic assembly execution, to the development of a flexible robotic setup and novel assembly procedures for dealing with the complexity of the designed timber joints. We discuss synergistic results on both robotic and construction design innovation, with an outlook on future developments.

Indexed as

assembly of timber structuresdigital twinlearning by demonstrationrobotic assemblyrobotic fabrication

Identifiers

PMID35155587
PMCPMC8829567

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.