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cs.RO2023★ 2 cited
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Alexander Herzog, Kanishka Rao, Karol Hausman +37
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. Rea…
cs.RO2023
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation
Cem Gokmen, Daniel Ho, Mohi Khansari
Recent progress in end-to-end Imitation Learning approaches has shown promising results and generalization capabilities on mobile manipulation tasks. Such models are seeing increas…