Travis Augenstein's Survey on Intelligent Assembly Support Systems Published in Journal of Manufacturing Systems
Congratulations to Travis Augenstein, whose paper *"Intelligent assembly support systems for human-centric manufacturing: A survey"* has been published in the *Journal of Manufacturing Systems* (Vol. 89, 2026). The paper is co-authored with Ho Seok Ahn and Yuqian Lu.
About the Research
The survey analyses how intelligent assembly support systems perceive tasks, reason about assembly processes, generate support actions, and interact with human operators in complex industrial environments. It draws on a systematic review of 184 publications from 2015 to 2026, combining thematic analysis with bibliometric and temporal analyses.
Key Findings
- Current systems focus mainly on vision-based perception, action recognition, and predefined support strategies. They give limited attention to perception uncertainty, variation in human assembly behaviour, and the different capabilities and needs of workers.
- The field is moving from recognition-oriented support tools towards uncertainty-aware decision-support systems that enable adaptive human–AI collaboration.
- Open challenges include robust perception under visual and environmental variability, adaptive support for heterogeneous workers, trustworthy integration of emerging technologies such as large language models and human-centric digital twins, and the practical requirements of industrial deployment.
- The authors propose that future systems be judged not only on technical performance but also on adaptability, trust calibration, human autonomy, and long-term operational viability.
The findings offer a roadmap for Industry 5.0 assembly environments, where intelligent systems augment rather than replace human expertise.
Congratulations to Travis on this achievement.