Vision-Language Models in Manufacturing

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Recorded02 Jun 2026

Publisherfeed.podbean.com ↗

Handlerec:18675339

Show notes

In this episode Jim Tatum interviews Dijam Panagrahi of GridRaster about Vision-Language Models (VLMs), a next-generation AI that blends visual data and natural language to enable reasoning, interpretation, and real-time decision-making in industrial settings. VLMs are shown to improve robotics and inspection by giving machines context-aware vision, active task guidance, and expert knowledge to augment human workers and automate complex tasks. The discussion also covers practical challenges, including domain-specific training, compute requirements, edge deployment, and the use of synthetic data to scale VLMs for real-world factory floors.

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