Toward task oriented localization

• In the course of building a fully autonomous robot platform it is important to look at the computational resources spent by the indi- vidual modules. Each of them cannot be greedy, or the overall demand for computational power will be beyond what can be handled on-board. Maintaining an estimate of the pose of a mobile robot is a typical exam- ple where we might not always need to run the algorithm at the highest possible rate. This paper deals with the problem of determining how much e ort is needed in order to accomplish the localization part of a task. The approach we have taken to the problem is to optimize a cost function that accounts for the cost of sensing and the growth of the uncertainty.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)

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