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Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Manipulating deformable objects, such as fabric, is a long standing prob...
10/07/2020 ∙ by Robert Lee, et al. ∙
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Model-free vision-based shaping of deformable plastic materials
We address the problem of shaping deformable plastic materials using non...
01/30/2020 ∙ by Andrea Cherubini, et al. ∙
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Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
Deep reinforcement learning has been shown to solve challenging tasks wh...
11/20/2019 ∙ by Vibhavari Dasagi, et al. ∙
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Mirroring to Build Trust in Digital Assistants
We describe experiments towards building a conversational digital assist...
04/02/2019 ∙ by Katherine Metcalf, et al. ∙
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Zero-shot Sim-to-Real Transfer with Modular Priors
Current end-to-end Reinforcement Learning (RL) approaches are severely l...
09/20/2018 ∙ by Robert Lee, et al. ∙
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Object Detection and Geometric Profiling through Dirty Water Media Using Asymmetry Properties of Backscattered Signals
The scattering of light observed through the turbid underwater channel i...
04/13/2018 ∙ by Chensheng Wu, et al. ∙
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