The purpose of this study is to synthesize literature pertaining to human–machine collaborative additive manufacturing (HMC-AM), an advanced interdisciplinary field which is amalgamation of robotics and additive manufacturing. This field has extraordinary advantages such as enhanced productivity, improved customization, superior quality and precision, better resource utilization and innovation, which are useful in aerospace, health care, automotive and consumer goods industries.
The present review offers a thorough examination of HMC-AM, integrating a systematic review and bibliometric analysis to investigate the synergy between human intelligence and machine accuracy in additive manufacturing. Total 212 research paper published during last 20 years, i.e. 2004-2024 are systematically reviewed and prominent outcomes are highlighted. In this study, the research axes that have improved the efficiency, scalability and adaptability of HMC-AM are classified into four sections – sensing and perception, AM, software, AM systems and human–machine interfaces and discussed in detail.
Further, the sectoral applications of HMC-AM are described. Meanwhile, the challenges faced by HMC-AM systems and their practical solutions are documented. Furthermore, bibliometric study is performed, which identifies trends in HMC-AM systems, highlighting the revolutionary potential of HMC-AM across many industries.
The novelty of the present systematic review is development of a roadmap of future research in the domain of human–machine collaborative additive manufacturing.
