Published October 10, 2021
| Version v1
Conference paper
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On-line Optimal information-aware path planning with actuation noise and intermittent noisy measurements
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Description
In this work, we describe some recent research activ-
ities over the last years regarding an online optimal perception-
aware strategy. The goal is to reduce at runtime the estimation
uncertainty by maximizing the amount of information provided by
the onboard sensors in spite of not negligible Gaussian or Brownian
actuation/process noise and intermittent noisy measurements (e.g. in
case of on-board limited field-of-view sensors).
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