Embedded Neural Networks for Robot Autonomy

10 Nov 2019Sarah Aguasvivas ManzanoDana HughesCooper SimpsonRadhen PatelNikolaus Correll

We present a library to automatically embed signal processing and neural network predictions into the material robots are made of. Deep and shallow neural network models are first trained offline using state-of-the-art machine learning tools and then transferred onto general purpose microcontrollers that are co-located with a robot's sensors and actuators... (read more)

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