Robot action plans that form and maintain expectations

  title={Robot action plans that form and maintain expectations},
  author={Jan Oliver Winkler and Michael Beetz},
  journal={2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
Robots performing general purpose plans must deal with a wide variety of contexts. Situations they encounter might differ only in subtle, but important details in context and parameterization that have a massive impact on an action's outcome. To avoid the effort of encoding all possible combinations of subtleties into plans, we present a prediction framework that gives robot agents an intuition of their actions' effects and for choosing parameter values that have proven to be useful before. We… CONTINUE READING

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