Tobi Delbrück Talks Caltech, Cameras, and Neural Control
Brains and Machines
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Optimizing Robotic Control with Neural Networks
This chapter explores the optimization of nonlinear model predictive control in robotics, contrasting it with natural brain functions. It highlights the use of neural networks for improving predictive modeling in complex robotic systems, such as sailboats, and discusses the potential of neuromorphic computing for enhancing robotic decision-making.
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