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Jarek Rettinghouse

2 accepted papers

2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators

RSS 2023poster

We describe a system for deep reinforcement learning of robotic manipulation skills applied to a large-scale real-world task: sorting recyclables and trash in office buildings. Real-world deployment of deep RL policies requires not only effective training algorithms, but the ability to bootstrap rea…

Cited by 30SourcePDFScholar
2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

CoRL 2022oral

Large language models can encode a wealth of semantic knowledge about the world. Such knowledge could be extremely useful to robots aiming to act upon high-level, temporally extended instructions expressed in natural language. However, a significant weakness of language models is that they lack real…

Cited by 1747SourcecodeScholar