FlowControl: Optical Flow Based Visual Servoing

July 01, 2020 Β· Declared Dead Β· πŸ› IEEE/RJS International Conference on Intelligent RObots and Systems

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Authors Max Argus, Lukas Hermann, Jon Long, Thomas Brox arXiv ID 2007.00291 Category cs.RO: Robotics Cross-listed cs.CV Citations 29 Venue IEEE/RJS International Conference on Intelligent RObots and Systems Last Checked 4 months ago
Abstract
One-shot imitation is the vision of robot programming from a single demonstration, rather than by tedious construction of computer code. We present a practical method for realizing one-shot imitation for manipulation tasks, exploiting modern learning-based optical flow to perform real-time visual servoing. Our approach, which we call FlowControl, continuously tracks a demonstration video, using a specified foreground mask to attend to an object of interest. Using RGB-D observations, FlowControl requires no 3D object models, and is easy to set up. FlowControl inherits great robustness to visual appearance from decades of work in optical flow. We exhibit FlowControl on a range of problems, including ones requiring very precise motions, and ones requiring the ability to generalize.
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