2018
CINet: A Learning Based Approach to Incremental Context Modeling in Robots
IROS 2018poster
There have been several attempts at modeling context in robots. However, either these attempts assume a fixed number of contexts or use a rule-based approach to determine when to increment the number of contexts. In this paper, we pose the task of when to increment as a learning problem, which we so…