@incollection{amigoni2014mesrob,
  author = {Amigoni, Francesco and Basilico, Nicola and {Quattrini Li}, Alberto},
  title = {Moving from `How to go there?' to `Where to go?': Towards Increased Autonomy of Mobile Robots},
  booktitle = {New Trends in Medical and Service Robots},
  series = {Mechanisms and Machine Science},
  editor = {Rodi\`{c}, Aleksandar and Pisla, Doina and Bleuler, Hannes},
  publisher = {Springer},
  pages = {345-356},
  volume = {20},
  year = {2014},
  doi = {10.1007/978-3-319-05431-5_23},
  abstract = {Autonomous mobile robots have seen a widespread development in recent years, due to their possible applications (e.g., surveillance and search and rescue). Several techniques have been proposed for solving the path planning problem, in which a user specifies spatial targets and the robots autonomously decide how to go there. In contrast, the problem of where to go next, in which the targets themselves are autonomously decided by the robots, is largely unexplored and lacking an assessed theoretical basis. In this work, we make a step towards a framework for casting and addressing this problem. The framework includes the following dimensions: the amount of knowledge about the environment the robots have, the kind of that knowledge, the criteria used to evaluate the success of the decisions, the number of decision makers, and the possible adversarial nature of the settings. We focus on applications relative to exploration and patrolling.}
}

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