27 citations · 85 across the 19 of their papers we have counts for
Showing 2017 · cs.ROShow all
2 papers · 2 filters
cs.RO2017
CINet: A Learning Based Approach to Incremental Context Modeling in Robots
Fethiye Irmak Doğan, İlker Bozcan, Mehmet Çelik +1
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 i…
cs.RO2017
A Deep Incremental Boltzmann Machine for Modeling Context in Robots
Fethiye Irmak Doğan, Hande Çelikkanat, Sinan Kalkan
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 fi…