Description
AI has transformed design and simulation, yet its role in real-world making where materials, tolerances, and human judgment converge remains emergent. Fabrication is variable, unforgiving, and governed by physics that challenge AI tools. This panel will explore the current state of AI in manufacturing and construction, focusing on how agentic systems can augment, not replace, skilled practitioners. Drawing on applied research from the Autodesk Technology Centers, we'll share how we train AI on real fabrication data, develop physics-informed models, and test intelligent, automated manufacturing workflows. Join experts across domains to examine how human-AI collaboration can drive impactful outcomes from factory floors to jobsites.
Key Learnings
- Learn about the current state of AI capabilities and the limitations in real-world manufacturing and construction environments.
- Learn about and compare approaches for training AI on fabrication data, including physics-informed models and real-world process data.
- Learn the differences between AI systems that replace human judgment and those designed to augment skilled practitioners.
- Learn how to build practitioner trust and accelerate technology adoption by demystifying AI methods and capabilities.
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