Abstract | ||
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Existing approaches for visuomotor robotic control typically require characterizing the robot in advance by calibrating the camera or performing system identification. We propose MAVRIC, an approach that works with minimal prior knowledge of the robot's morphology, and requires only a camera view containing the robot and its environment and an unknown control interface. MAVRIC revolves around a mu... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/LRA.2019.2963824 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Robot kinematics,Visualization,Cameras,Visual servoing,Morphology | Journal | 5 |
Issue | ISSN | Citations |
2 | 2377-3766 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Brian Yang | 1 | 19 | 2.76 |
Dinesh Jayaraman | 2 | 318 | 15.69 |
Glen Berseth | 3 | 152 | 15.35 |
Alexei A. Efros | 4 | 10301 | 634.66 |
Sergey Levine | 5 | 3377 | 182.21 |