6 papers
inr2action: Encoding Robot Episodes as Neural Implicit Representations for Recall and Action
Leann Alhashishi, Christos Margadji, Sebastian William Pattinson
Long-horizon robotic operation requires memory that scales with essential information rather than execution time. We present a parameter-space memory framework where each episode i…
IDfRA: Self-Verification for Iterative Design in Robotic Assembly
Nishka Khendry, Christos Margadji, Sebastian W. Pattinson
Design for Robotic Assembly (DfRA) remains largely dependent on manual planning and heuristic simulation, limiting scalability and robustness in complex industrial settings. Althou…
Intelligent Vacuum Thermoforming Process
Andi Kuswoyo, Christos Margadji, Sebastian W. Pattinson
Ensuring consistent quality in vacuum thermoforming presents challenges due to variations in material properties and tooling configurations. This research introduces a vision-based…
Hybrid Reasoning for Perception, Explanation, and Autonomous Action in Manufacturing
Christos Margadji, Sebastian W. Pattinson
Industrial processes must be robust and adaptable, as environments and tasks are often unpredictable, while operational errors remain costly and difficult to detect. AI-based contr…
Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries
Christos Margadji, Andi Kuswoyo, Sebastian W. Pattinson
The ability to accurately produce geometries with specified properties is perhaps the most important characteristic of a manufacturing process. 3D printing is marked by exceptional…
Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis
Rupert Menneer, Christos Margadji, Sebastian W. Pattinson
We introduce a novel method for conditioning diffusion-based image synthesis models with heterogeneous graph data. Existing approaches typically incorporate conditioning variables…