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2017 GTC San Jose

S7325 - Behavioral Additive Manufacturing: Adaptive 3D Printing Using Multi-Agent Systems and Deep Learning

Session Speakers
Session Description

We'll introduce autonomously constructed architecture by using multi-agent systems (MAS) and deep learning. 3D printing path adapts in real time to the unpredictable material behavior, by using an NVIDIA Jetson card on an industrial robotic arm. We'll explain path generation, real-time visual tracking of material, recomputing of robotic targets, and finally experiments with real-time MAS adaptation for emergent stable structures through code and video recordings of 3D printing process and its printed structures.


Additional Session Information
All
Talk
Computer Vision and Machine Vision Deep Learning and AI Intelligent Machines and IoT
Manufacturing
25 minutes
Session Schedule