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The International Journal of Advanced Manufacturing Technology - Call for Papers - SI Advances of AI and Robotics in Precision Engineering for Hybrid Manufacturing

Guest editors:
Andrea Vallati, Sapienza University, Rome, Italy
Sotiris Makris, University of Patras, Patras, Greece
Gabriel Abba, Université de Lorraine, Metz, France
Nikos Tsourveloudis, Technical University of Crete, Chania, Greece


Description: As hybrid manufacturing continues to evolve, the role of AI and robotics is poised to expand further. Predictive maintenance powered by AI algorithms can anticipate equipment failures, minimizing downtime and optimizing resource utilization. Additionally, the continuous evolution of robotic capabilities, such as dexterous manipulation and advanced vision systems, enhances their ability to handle intricate tasks across diverse manufacturing domains. Artificial intelligence (AI) and robotics have emerged as transformative technologies in the realm of hybrid manufacturing, offering unprecedented opportunities to enhance efficiency, precision, and adaptability in production processes. In this dynamic landscape, AI plays a pivotal role by leveraging advanced algorithms to analyze and optimize manufacturing parameters. Machine learning algorithms, a subset of AI, enable systems to learn and adapt to evolving production requirements, thus optimizing workflows and minimizing downtime. Concurrently, robotics in hybrid manufacturing introduces a new paradigm of automation, where intelligent machines seamlessly collaborate with human workers to perform complex tasks. These robotic systems, equipped with sensors and actuators, can handle intricate operations with speed and accuracy, ensuring a high level of precision in the manufacturing process.

The integration of AI and robotics in hybrid manufacturing represents a revolutionary leap forward, reshaping the traditional paradigms of production. This technological convergence not only enhances efficiency and precision but also opens avenues for innovation and creativity in manufacturing processes. As AI and robotics continue to advance, the hybrid manufacturing landscape is poised for further optimization, offering a glimpse into a future where intelligent machines and human expertise seamlessly coexist to drive the next wave of industrial transformation. Potential topics included, but not limited to,

Future trends in AI and robotics-powered precision engineering for emerging nano-scale hybrid manufacturingAI-driven approaches to precise multi-material fabrication for developing smart material combinations and functionalities in hybrid manufacturing.AI in additive-subtractive hybrid manufacturing for multidimensional manufacturing geometry applicationsAI and robotics in hybrid manufacturing of injection moulding and material extrusion for three-dimensional printing manufacturingAdvanced robotics in hybrid manufacturing for stainless steel of thermal-mechanical coupled model of digital manufacturingAdvanced robotics technology in hybrid manufacturing for fabrication of lattice stricturesAI and advanced robotics in hybrid additive manufacturing for microstructure evolution and alloy fabricationAI and robotic systems-based precision engineering in material handling and assembly for hybrid manufacturing automationAdvanced AI-enabled seamless human-robot collaboration (HRC) in flexible manufacturing systems (FMS) for hybrid manufacturingRecent developments of AI in sustainable hybrid manufacturing/remanufacturing production system

Submission deadline: September 30, 2024

Submit your paper via the journal’s electronic submission platform at

https://www2.cloud.editorialmanager.com/jamt/default2.aspx (this opens in a new tab) and select the correct special issue

Author instructions and additional journal details available: https://link.springer.com/journal/170/submission-guidelines (this opens in a new tab)

 Peer Review Process: All articles submitted to the collection will undergo the same, rigorous, single-blind peer-review process as all of the journal’s regular publications.

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