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#manufacturing

8 curated events
papersTODAY 04:00 UTC

Active Inspection System Adapts to High-Mix Manufacturing Without Reprogramming

A new arXiv paper proposes a metrological inspection framework for high-mix, low-volume manufacturing, where parts, specs, and work orders change frequently. The approach steers a vision-language-action model to measure parts and gates its outputs against deterministic evidence rather than relying on fixed sensing routines. It aims to remove the need for repeated task-specific programming in inspection automation.

robotics/manufacturing/vla/inspection
papersTODAY 04:00 UTC

Study compares rotation representations for predicting SLM dental part build orientation

A new arXiv paper frames the choice of build orientation for selective laser melting of dental components as a supervised machine learning problem. Using orientation labels recorded by technicians in production data, the authors train models to predict a part's up-axis and compare several rotation representations against direct vector regression. The work targets automating a step that is currently performed manually.

additive-manufacturing/machine-learning/manufacturing/research
papersSEP 12 04:00 UTC

Model-based reinforcement learning with inverse models controls modular production systems

A new arXiv paper proposes a framework for data-driven self-learning control of highly flexible, modular manufacturing systems. The approach combines model-based reinforcement learning with approximate inverse process models to improve distributed optimization. The work targets industrial settings where production modules can be reconfigured.

reinforcement-learning/manufacturing/arxiv/optimization
papersSEP 12 04:00 UTC

Multi-Layer Knowledge Graph Proposed for CMC Process Development

A new arXiv paper describes a multi-layer knowledge graph intended to consolidate the fragmented technical records produced during chemistry, manufacturing and controls (CMC) process development. The approach aims to move organizations away from isolated document repositories toward structured process intelligence spanning drug discovery through commercial manufacturing. The work targets the knowledge-intensive, multi-stage nature of pharmaceutical development.

knowledge-graph/pharma/manufacturing/arxiv
productsSEP 9 19:21 UTC

Apple says AI and 3D printing were used to build foldable phone hinge

Apple has reportedly relied on artificial intelligence alongside 3D printing technology to produce the hinge component for its first foldable handset. The disclosure ties the company's long-expected foldable device to AI-assisted manufacturing rather than on-device AI features. Few technical details about the process or the phone's launch timeline were provided.

apple/hardware/manufacturing/3d-printing