Dec 31, 2019 · MAVRIC can control robots with imprecise actuation, no proprioceptive feedback, unknown morphologies including novel tools, unknown camera poses ...
Dec 2, 2019 · MAVRIC revolves around a mutual information- based method for self-recognition, which discovers visual “control points” on the robot body within ...
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Existing approaches for visuomotor robotic control typically requirecharacterizing the robot in advance by calibrating the camera or performingsystem ...
Dec 31, 2019 · Existing approaches for visuomotor robotic control typically require characterizing the robot in advance by calibrating the camera or ...
mavric revolves around a mutual information-based method for self-recognition, which discovers visual “control points” on the robot body within a few seconds of ...
MAVRIC: Morphology-Agnostic Visual Robotic Control. Yang*, B., Jayaraman*, D., Berseth, G., Efros, A., & Levine, S. ICRA and IEEE RA-L, 2020. bibtex
Sep 6, 2024 · MAVRIC can control robots with imprecise actuation, no proprioceptive feedback, unknown morphologies including novel tools, unknown camera poses ...
Visual Servoing. MAVRIC: Morphology-Agnostic Visual Robotic Control · We demonstrate visual control within 20 seconds on a robot with unknown morphology, from ...
Morphology-Agnostic Visual Robotic Control. Yang, B.; Jayaraman, D.; Berseth, G.; Efros, A.; Levine, S. IEEE Robotics and Automation Letters 5(2): 766-773.
Existing approaches for visuomotor robotic control typically require characterizing the robot in advance by calibrating the camera or performing system ...