Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions

@article{Bellini2014InformationDP,
  title={Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions},
  author={Anna Chiara Bellini and Wenjie Lu and Roberto Naldi and Silvia Ferrari},
  journal={2014 American Control Conference},
  year={2014},
  pages={590-597}
}
A path planning and control method based on adaptive potential functions is presented for a group of unmanned aerial vehicles (UAVs) equipped with onboard sensors, and deployed to search and classify multiple targets. The proposed method plans the motion of the UAVs to support a primary sensing objective that, in this case, is to maximize the classification performance of the sensor measurements gathered by the UAVs over time. An adaptive potential function approach originally developed for… CONTINUE READING

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