16 citations · 43 across the 5 of their papers we have counts for
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3 papers · 1 filter
cs.RO2019★ 10 cited
Conditional Driving from Natural Language Instructions
Junha Roh, Chris Paxton, Andrzej Pronobis +2
Widespread adoption of self-driving cars will depend not only on their safety but largely on their ability to interact with human users. Just like human drivers, self-driving cars…
cs.RO2018★ 1 cited
From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping
Kaiyu Zheng, Andrzej Pronobis
We introduce TopoNets, end-to-end probabilistic deep networks for modeling semantic maps with structure reflecting the topology of large-scale environments. TopoNets build a unifie…
cs.RO2016★ 16 cited
Learning Deep Generative Spatial Models for Mobile Robots
Andrzej Pronobis, Rajesh P. N. Rao
We propose a new probabilistic framework that allows mobile robots to autonomously learn deep, generative models of their environments that span multiple levels of abstraction. Unl…