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

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-01
DOI
https://doi.org/10.1038/s41598-026-46136-2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yi-Xiang Wang, Xinwei Ye, Quan Zhang, Heng Chen et al.
Scientific Reports
Additive Manufacturing and 3D Printing Technologies
article

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

Yi-Xiang Wang, Xinwei Ye, Quan Zhang, Heng Chen, Zeyu Zhao
article en

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.

Scientific Reports
Harbin University of Science and Technology (CN), Xijing University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 9%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.