Evidence map›Paper›PMID 41922458›Full record

ArticleScientific reports2026

Evaluation of open-source robotic-assisted additive manufacturing equipment for additively manufactured three-dimensional curved structure.

Quan Zhang, Jihong Wang, Zeyu Zhao, Xinwei Ye, Heng Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Quan ZhangSchool of Mechanical Engineering, Xijing University, Xi'an, 710123, China. 15235259616@163.com.
Jihong WangFaculty of Engineering, The University of Hong Kong, Hong Kong, 999077, China.
Zeyu ZhaoRongcheng College, Harbin University of Science and Technology, Rongcheng, 264300, China.
Xinwei YeSchool of Mechanical Engineering, Xijing University, Xi'an, 710123, China.
Heng ChenSchool of Mechanical Engineering, Xijing University, Xi'an, 710123, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive manufacturing (AM) technology is leading the revolution in the industrial sector. The robotic additive manufacturing equipment, with its high degree of flexibility and multi-directional manufacturing path capability, can break through the limitations of traditional equipment to produce more complex parts. In this paper, an open-source low-cost robotic-assisted AM framework is proposed. Through forward and reverse kinematic calculation, the position and attitude of the end actuator of the manipulator are precisely controlled. The six-axis robotic arm-based AM system was systematically designed and validated via targeted printing tasks. The results demonstrated that the open-source system performed better than the conventional three-axis system. The proposed robotic arm achieved a deposition speed of 128 ± 5 mm/s (p < 0.01 compared to 65 ± 8 mm/s, n = 10). Through employing a six-degree-of-freedom (6-DoF) motion path algorithm, it achieved efficient 6-DoF support-free printing and highly reduced printing time by 43.7%. It is highlighted that robotic-assisted AM is a transformative example of intelligent manufacturing, which enables high-speed, high-accuracy manufacturing processes of complex geometries.

Indexed as

Additive manufacturingFused deposition modellingMulti-axis printingRobotic-assisted manufacturingThree-dimensional structureTrajectory planning

Identifiers

PMID41922458
PMCPMC13184238

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.