Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots

IROS, 2018.

Cited by: 11|Bibtex|Views21|DOI:https://doi.org/10.1109/IROS.2018.8593720
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We study the problem of learning a navigation policy for a robot to actively search for an object of interest in an indoor environment solely from its visual inputs. While scene-driven visual navigation has been widely studied, prior efforts on learning navigation policies for robots to find objects are limited. The problem is often more ...More

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