Outputs (6)

Reinforcement Learning-Based Sealant Process Control (2025)
Presentation / Conference Contribution
Narvato, R., Kendall, P., Sanderson, D., Ratchev, S., & Martínez Arellano, G. (2025, July). Reinforcement Learning-Based Sealant Process Control. Presented at 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Ischia, Italy

Sealant deposition is a fundamental process in aerospace assembly ensuring the longevity of aerostructures by preventing contaminant transfer and leakage. This process is typically done manually which can lead to inconsistent, time-consuming, and som... Read More about Reinforcement Learning-Based Sealant Process Control.

Digital Twin Enabled Layout Optimization Framework for Photogrammetry Cameras in Reconfigurable Robotic Work Cells (2024)
Presentation / Conference Contribution
Pandurevic, S., Wang, Z., Sanderson, D., & Ratchev, S. (2024, November). Digital Twin Enabled Layout Optimization Framework for Photogrammetry Cameras in Reconfigurable Robotic Work Cells. Presented at ASME 2024 International Mechanical Engineering Congress and Exposition, Portland, Oregon, USA

Photogrammetry systems are extensively used in industrial manufacturing as an assistance measurement tool.Their non-contact nature and rapid data acquisition allow for high-precision feedback, playing a crucial role in various applications such as qu... Read More about Digital Twin Enabled Layout Optimization Framework for Photogrammetry Cameras in Reconfigurable Robotic Work Cells.

Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models (2024)
Presentation / Conference Contribution
Mo, F., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2024, June). Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models. Presented at International Conference on Flexible Automation and Intelligent Manufacturing, Taichung, Taiwan

This paper introduces an approach that integrates Natural Language Processing (NLP) and knowledge graphs with Reconfigurable Manufacturing Systems (RMS) to enhance flexibility and adaptability. We utilize a chatbot interface powered by GPT-4 and a st... Read More about Advancing Capability Matching in Manufacturing Reconfiguration with Large Language Models.

Toward process control from formal models of transformable manufacturing systems (2017)
Journal Article
Bakker, O. J., Chaplin, J. C., de Silva, L., Felli, P., Sanderson, D., Logan, B., & Ratchev, S. (2018). Toward process control from formal models of transformable manufacturing systems. Procedia CIRP, 63, 521-526. https://doi.org/10.1016/j.procir.2017.03.159

The automation and flexibility of production systems is a key step towards improved profitability and competitiveness in high labour cost areas, when producing high-complexity, low-volume products. In the Evolvable Assembly Systems (EAS) project, the... Read More about Toward process control from formal models of transformable manufacturing systems.

Synthesising industry-standard manufacturing process controllers (2017)
Presentation / Conference Contribution
de Silva, L., Felli, P., Chaplin, J. C., Logan, B., Sanderson, D., & Ratchev, S. (2017, May). Synthesising industry-standard manufacturing process controllers. Presented at Sixteenth International Conference on Autonomous Agents and Multiagent Systems, Sao Paolo, Brazil

Realisability of production recipes (2016)
Presentation / Conference Contribution
de Silva, L., Felli, P., Chaplin, J. C., Logan, B., Sanderson, D., & Ratchev, S. (2016, August). Realisability of production recipes. Presented at 22nd European Conference in Artificial Intelligence (ECAI 2016), The Hague, The Netherlands

There is a rising demand for customised products with a high degree of complexity. To meet these demands, manufacturing lines are increasingly becoming autonomous, networked, and intelligent, with production lines being virtualised into a manufacturi... Read More about Realisability of production recipes.