A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments

  title={A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments},
  author={Tim Oates and Matthew D. Schmill and Paul R. Cohen},
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals requires knowledge of how the robot’s actions affect the state of the world over time. The traditional approach of handcoding this knowledge is often quite difficult, especially f or robotic agents with rich sensing abilities that exist in dyn amic and uncertain environments. Ideally, robots would acquire knowledge of… CONTINUE READING
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