David Sanderson
Papers
13
Total Citations
276
H-Index
9
About
David Sanderson is a leading researcher in advanced manufacturing systems, with expertise spanning digital twins, artificial intelligence, reconfigurable manufacturing, and aerospace assembly. His most influential work, "A Framework for Manufacturing System Reconfiguration and Optimisation Utilising Digital Twins and Modular Artificial Intelligence" (2023, 130 citations), has established him as a pioneering voice in applying modular AI and digital twin technologies to dynamic, multi-system industrial environments — moving well beyond the traditional single-system paradigm. This contribution has resonated strongly across the manufacturing research community, reflecting its practical and conceptual significance. Sanderson has also made notable strides in aerospace manufacturing, particularly through his work on Measurement Assisted Assembly (43 citations), which advocates a paradigm shift toward more efficient, cost-effective high-complexity product assembly. His research consistently bridges theoretical frameworks with real-world application, evidenced by contributions to plug-and-produce manufacturing software, robotic energy optimization, and self-configuring production platforms. His involvement in the five-year Evolvable Assembly Systems project further demonstrates his commitment to validating flexible manufacturing visions at scale. With a growing body of work extending into self-learning robotic decision-making, Sanderson continues to shape the future of intelligent, adaptive manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Measurement Assisted Assembly for High Accuracy Aerospace Manufacturing43 citations · 2018
- 3Towards Modular and Plug-and-Produce Manufacturing Apps16 citations · 2022
- 4Online and Modular Energy Consumption Optimization of Industrial Robots14 citations · 2023
- 5
- 6A Transformable Manufacturing Concept for Low-Volume Aerospace Assembly11 citations · 2017
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