Heterogeneous swarm manufacturing: a framework and proof-of-concept study

Modern factories, despite advancements in automation and digitalization, are still limited in adapting to different products due to their design for specific purposes and dependence on specialized supply chains. This rigidity limits their adaptability and resilience to disruptions. This paper introduces a comprehensive framework for Heterogeneous Swarm Manufacturing (HSM) that enables a swarm of different manufacturing robots to dynamically reconfigure and cooperatively execute hybrid manufacturing tasks. The framework encompasses processes including task division, task allocation, dynamic scheduling, and path planning, addressing the complexities of interdependence between these processes. To validate the framework, we developed a testbed featuring four types of robot-3D printing robots, laser processing robots, transport robots, and assembly robots—operating on a modular floor tile system and conducted two proof-of-concept case studies by manufacturing a large-scale Razorback Logo and a fully functional mini-electric vehicle (Mini-EV). The results demonstrated the effectiveness of the framework in guiding the planning of heterogeneous swarm manufacturing. The results show the promise of HSM to improve the adaptability and resilience of manufacturing systems, paving the way for more agile, general-purpose factories.

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Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2026-03-05
DOI
https://doi.org/10.1007/s00170-025-17055-9
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Heterogeneous swarm manufacturing: a framework and proof-of-concept study

Zachary Hyden, Wan Shou, Rencheng Wu, Nahid Tushar et al.
The International Journal of Advanced Manufacturing Technology
Advanced Manufacturing and Logistics Optimization
article

Heterogeneous swarm manufacturing: a framework and proof-of-concept study

Zachary Hyden, Wan Shou, Rencheng Wu, Nahid Tushar, Zhenghui Sha, Wenchao Zhou
article en

Abstract

Modern factories, despite advancements in automation and digitalization, are still limited in adapting to different products due to their design for specific purposes and dependence on specialized supply chains. This rigidity limits their adaptability and resilience to disruptions. This paper introduces a comprehensive framework for Heterogeneous Swarm Manufacturing (HSM) that enables a swarm of different manufacturing robots to dynamically reconfigure and cooperatively execute hybrid manufacturing tasks. The framework encompasses processes including task division, task allocation, dynamic scheduling, and path planning, addressing the complexities of interdependence between these processes. To validate the framework, we developed a testbed featuring four types of robot-3D printing robots, laser processing robots, transport robots, and assembly robots—operating on a modular floor tile system and conducted two proof-of-concept case studies by manufacturing a large-scale Razorback Logo and a fully functional mini-electric vehicle (Mini-EV). The results demonstrated the effectiveness of the framework in guiding the planning of heterogeneous swarm manufacturing. The results show the promise of HSM to improve the adaptability and resilience of manufacturing systems, paving the way for more agile, general-purpose factories.

The International Journal of Advanced Manufacturing Technology
Fayetteville Public Library (US), Walker (United States) (US), University of Arkansas at Fayetteville (US), The University of Texas at Austin (US)
National Science Foundation
Openalex Percentile: Top 38%
Advanced Manufacturing and Logistics Optimization
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