3 papers
cs.RO2019
Embedded Neural Networks for Robot Autonomy
Sarah Aguasvivas Manzano, Dana Hughes, Cooper Simpson +2
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…
cs.RO2017
Materials that make robots smart
Nikolaus Correll, Christoffer Heckman
We posit that embodied artificial intelligence is not only a computational, but also a materials problem. While the importance of material and structural properties in the control…
cs.LG2016
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication
Dana Hughes, Nikolaus Correll
This paper reviews machine learning applications and approaches to detection, classification and control of intelligent materials and structures with embedded distributed computati…