2018
Paired Recurrent Autoencoders for Bidirectional Translation Between Robot Actions and Linguistic Descriptions
RA-L 2018
We propose a novel deep learning framework for bidirectional translation between robot actions and their linguistic descriptions. Our model consists of two recurrent autoencoders (RAEs). One RAE learns to encode action sequences as fixed-dimensional vectors in a way that allows the sequences to be r