Multi-robot cluster additive manufacturing: review of pathways, enabling technologies, and construction-aware deployment

Additive manufacturing in construction (AMC) is transitioning from single-platform automation toward mobile, aerial, and heterogeneous multi-robot cluster construction (MRC). However, existing studies remain fragmented across construction robotics, digital fabrication, materials, sensing, and quality control, and the boundary between AMC-oriented MRC, robotic assembly, and AMC-adjacent systems remains unclear. This paper presents a systematic literature review of 145 studies, tracing the evolution of AMC across ground-based, aerial, and hybrid robotic systems. It synthesizes the conceptual foundations, evidence boundaries, typologies, coordination and control mechanisms, and enabling technologies of MRC, including perception, communication, task planning, material delivery, reinforcement integration, and QA/QC. To address current limitations in system integration and construction applicability, a construction-aware analytical framework is proposed to link robot coordination with material state, structural state, quality state, and feedback-based decision adjustment. Future priorities are identified to support construction-grade validation, human–robot safety, interoperability, cybersecurity, and digital trust.

Authors

Institutions

Publication Details

Journal
Automation in Construction
Published
2026-09-19
DOI
https://doi.org/10.1016/j.autcon.2026.107245
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Multi-robot cluster additive manufacturing: review of pathways, enabling technologies, and construction-aware deployment

Jingliang Xia, Wenqiang Zuo, Zhengxing Yu, Zhiyong Liu et al.
Automation in Construction
Innovations in Concrete and Construction Materials
article

Multi-robot cluster additive manufacturing: review of pathways, enabling technologies, and construction-aware deployment

Jingliang Xia, Wenqiang Zuo, Zhengxing Yu, Zhiyong Liu, Zuquan Jin, Yunsheng Zhang, Yu Zhang
article en

Abstract

Additive manufacturing in construction (AMC) is transitioning from single-platform automation toward mobile, aerial, and heterogeneous multi-robot cluster construction (MRC). However, existing studies remain fragmented across construction robotics, digital fabrication, materials, sensing, and quality control, and the boundary between AMC-oriented MRC, robotic assembly, and AMC-adjacent systems remains unclear. This paper presents a systematic literature review of 145 studies, tracing the evolution of AMC across ground-based, aerial, and hybrid robotic systems. It synthesizes the conceptual foundations, evidence boundaries, typologies, coordination and control mechanisms, and enabling technologies of MRC, including perception, communication, task planning, material delivery, reinforcement integration, and QA/QC. To address current limitations in system integration and construction applicability, a construction-aware analytical framework is proposed to link robot coordination with material state, structural state, quality state, and feedback-based decision adjustment. Future priorities are identified to support construction-grade validation, human–robot safety, interoperability, cybersecurity, and digital trust.

Automation in ConstructionVol. 192
Lanzhou University of Technology (CN), China Academy of Building Research (CN), Qingdao University of Technology (CN), Southeast University (CN)
Openalex Percentile: Top 14%
Innovations in Concrete and Construction Materials
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.

Multi-robot cluster additive manufacturing: review of pathways, enabling technologies, and construction-aware deployment — Jingliang Xia, Wenqiang Zuo, et al. · Automation in Construction (2026) | TGRS Research Map | TGRS