Evidence map›Paper›PMID 39050485›Full record

ArticleFrontiers in robotics and AI2024

Robotont 3-an accessible 3D-printable ROS-supported open-source mobile robot for education and research.

Eva Mõtshärg, Veiko Vunder, Renno Raudmäe, Marko Muro, Ingvar Drikkit, Leonid Tšigrinski, Raimo Köidam, Alvo Aabloo, Karl Kruusamäe

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Eva MõtshärgIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Veiko VunderIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Renno RaudmäeIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Marko MuroIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Ingvar DrikkitIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Leonid TšigrinskiIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Raimo KöidamIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Alvo AablooIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.
Karl KruusamäeIntelligent Materials and Systems Lab, Institute of Technology, University of Tartu, Tartu, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Educational robots offer a platform for training aspiring engineers and building trust in technology that is envisioned to shape how we work and live. In education, accessibility and modularity are significant in the choice of such a technological platform. In order to foster continuous development of the robots as well as to improve student engagement in the design and fabrication process, safe production methods with low accessibility barriers should be chosen. In this paper, we present Robotont 3, an open-source mobile robot that leverages Fused Deposition Modeling (FDM) 3D-printing for manufacturing the chassis and a single dedicated system board that can be ordered from online printed circuit board (PCB) assembly services. To promote accessibility, the project follows open hardware practices, such as design transparency, permissive licensing, accessibility in manufacturing methods, and comprehensive documentation. Semantic Versioning was incorporated to improve maintainability in development. Compared to the earlier versions, Robotont 3 maintains all the technical capabilities, while featuring an improved hardware setup to enhance the ease of fabrication and assembly, and modularity. The improvements increase the accessibility, scalability and flexibility of the platform in an educational setting.

Indexed as

3D-printingcitizen manufacturingeducational roboticsmodular hardwareopen-source hardwarePCB designrobot designRobot Operating System (ROS)

Identifiers

PMID39050485
PMCPMC11265998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.