Author

Mark D. Fuge

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Preprint Oct 2026

End-to-End Autonomous Generation of Human Assembly Plans

Turning a CAD design into an assembly plan is still largely done by hand, requiring engineers to reason about geometric feasibility, tool access, stability, and the ergonomics of human assembly. In this work, we encode long-established design for assembly (DfA) principles into a contained, end-to-end approach for gener...

Faustin Arion von Arx, Millicent Schlafly, Mark D. Fuge · 0 citations

Preprint Oct 2026

On-Demand Robotic Assembly via Differentiable Geometric Part Repair

Transitioning from a digital design to a robotic assembly process currently requires months of expert manual tuning to reconcile part geometries with robotic constraints. This paper presents an end-to-end, autonomous pipeline for the design and physical construction of bespoke wooden assemblies. A generative AI agent t...

Millicent Schlafly, Fabio Schaub, Diogo Costa Pais et al. · 0 citations

#machine learning Conference Open access Sep 2026

Conditional Flow Matching for ML-Based Inverse Design Problems

Comparing CFM against conditional Diffusion and cGAN across structural and thermal benchmarks from EngiBench under matched downstream optimization conditions supports CFM as a competitive warm-start prior for engineering inverse design, substantially reducing inference cost relative to the evaluated Diffusion baseline...

Juliana Felder, Milad Habibi, Soheyl Massoudi et al. · MATEC Web of Conferences · 0 citations