AI, Software, Smart Automation
Leveraging AI to Deliver Human-Centered Automation
This presentation will provide an overview of physics-informed AI technologies that enable robots to learn safe and efficient autonomous tool manipulation. These new technologies serve as the foundation for realizing smart automation for sanding, polishing, buffing, spraying, and coating applications. AI-based planning enables the automated generation of efficient robot trajectories for performing complex tool motions to meet process-specific requirements. The use of synthetic images generated from physics-informed simulations enables the use of deep learning in defect detection. Self-supervised active learning enables the robotic cell to autonomously and safely conduct experiments to learn the process parameters most efficiently. Generative AI techniques enable humans to interact with robots in a much more natural way.
Satyandra K. Gupta - Co-Founder & Chief Scientist, GrayMatter Robotics
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