Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments

@article{Hoof2014ProbabilisticSA,
  title={Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments},
  author={H. V. Hoof and Oliver Kroemer and Jan Peters},
  journal={IEEE Transactions on Robotics},
  year={2014},
  volume={30},
  pages={1198-1209}
}
Creating robots that can act autonomously in dynamic unstructured environments requires dealing with novel objects. Thus, an offline learning phase is not sufficient for recognizing and manipulating such objects. Rather, an autonomous robot needs to acquire knowledge through its own interaction with its environment, without using heuristics encoding human insights about the domain. Interaction also allows information that is not present in static images of a scene to be elicited. Out of a… Expand
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