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Bob Wei

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
2021

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving

ICRA 2021poster

In this paper, we propose an end-to-end self-driving network featuring a sparse attention module that learns to automatically attend to important regions of the input. The attention module specifically targets motion planning, whereas prior literature only applied attention in perception tasks. Lear…

Cited by 52SourceScholar