Title
Morphology-Agnostic Visual Robotic Control
Abstract
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 Yang1192.76
Dinesh Jayaraman231815.69
Glen Berseth315215.35
Alexei A. Efros410301634.66
Sergey Levine53377182.21