Quantitative and Real-Time Control of 3D Printing Material Flow Through Deep Learning. - Douglas A. J. Brion; Sebastian W. Pattinson (Adv. Intell. Syst., 2022)

Towards Augmented Reality Guiding Systems: An Engineering Design of an Immersive System for Complex 3D Printing Repair Process. - Luca O. Solari Bozzi; Kerr D. G. Samson; Slawomir Konrad Tadeja; Thomas Bohné; Sebastian W. Pattinson (VR Workshops, 2023)

Exploring the repair process of a 3D printer using augmented reality-based guidance. - Slawomir Konrad Tadeja; Luca O. Solari Bozzi; Kerr D. G. Samson; Sebastian W. Pattinson; Thomas Bohné (Comput. Graph., 2023)

IMU-Based Walking Data. - Lefan Wang; Sebastian W. Pattinson (IEEE DataPort, 2024)

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis. - Rupert Menneer; Christos Margadji; Sebastian W. Pattinson (CoRR, 2025)

Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries. - Christos Margadji; Andi Kuswoyo; Sebastian W. Pattinson (CoRR, 2025)

An Efficient and Uncertainty-aware Reinforcement Learning Framework for Quality Assurance in Extrusion Additive Manufacturing. - Xiaohan Li; Sebastian W. Pattinson (CoRR, 2025)

Ankle Kinematics Estimation Using Artificial Neural Network and Multimodal IMU Data. - Lefan Wang; Pingfan Song; Thomas Stone; Adrian Weller; Sebastian W. Pattinson (IEEE J. Biomed. Health Informatics, 2025)

Hybrid Reasoning for Perception, Explanation, and Autonomous Action in Manufacturing. - Christos Margadji; Sebastian W. Pattinson (CoRR, 2025)