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Building assistive interfaces for controlling robots through arbitrary, high-dimensional, noisy inputs (e.g., webcam images of eye gaze) can be challenging, especially when it involves inferring the user's desired action in the absence of a natural 'default' interface.
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Ofir Nachum, Shixiang Shane Gu, Honglak Lee, and Sergey Levine · 2018
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Eye tracking for everyone
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Autonomy infused teleoperation with application to brain computer interface controlled manipulation
Katharina Muelling, Arun Venkatraman, Jean-Sebastien Valois, John E Downey, Jeffrey Weiss, Shervin Javdani, Martial Hebert, Andrew B Schwartz, Jennifer L Collinger, and J Andrew Bagnell · 2017
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Sub-policy adaptation for hierarchical reinforcement learning
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X2T: Training an x-to-text typing interface with online learning from user feedback
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