Visual Servoing
Introduced by Ribeiro et al. in Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation
Dataset for visual servoing (VS) and camera pose estimation. The images were obtained by a manipulator robot with an eye-in-hand camera in different poses. The labels represent the camera pose. It is possible to obtain the absolute pose of the camera without any pre-processing of the dataset, as well as the relative pose between images through matrix transformations. One may also use the dataset to get the camera's 6DoF speeds so that the visual servo control between two images can be performed.
Papers
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