Interactive learning of visually symmetric objects

  title={Interactive learning of visually symmetric objects},
  author={Wai Ho Li and Lindsay Kleeman},
  journal={2009 IEEE/RSJ International Conference on Intelligent Robots and Systems},
This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effector. This departs from eye-in-hand systems that move the camera while keeping the scene static. Our robot leverages a simple nudge action to obtain the motion segmentation of an object in stereo. The robot uses the segmentation results to pick up the object. The robot collects training images by rotating the grasped… CONTINUE READING