2018
A Deep Incremental Boltzmann Machine for Modeling Context in Robots
ICRA 2018poster
Context is an essential capability for robots that are to be as adaptive as possible in challenging environments. Although there are many context modeling efforts, they assume a fixed structure and number of contexts. In this paper, we propose an incremental deep model that extends Restricted Boltzm…