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  • title: Train Offline, Test Online: A Real Robot Learning Benchmark
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            Train Offline, Test Online: A Real Robot Learning Benchmark
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            Train Offline, Test Online: A Real Robot Learning Benchmark

            Dec 2, 2022

            Speakers

            GZ

            Gaoyue Zhou

            Speaker · 0 followers

            VD

            Victoria Dean

            Speaker · 0 followers

            MKS

            Mohan Kumar Srirama

            Speaker · 0 followers

            About

            Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do not generalize across labs), and we lack internet-scale robotics data. We take on these challenges via a new benchmark: Train Offline, Test Online (TOTO). TOTO provides remote users with access to shared robots for evaluating methods on common tasks and an open-source dataset of these tasks for offline training. Its manipulation task suite r…

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            NeurIPS 2022

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