Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Active Perception for Ambiguous Objects Classification   Recent visual pose estimation and tracking solutions provide notable results
on popular datasets such as T-LESS and YCB. However, in the real world, we can
find ambiguous objects that do not allow exact classification and detection
from a single view. In this work, we propose a framework that, given a single
view of an object, provides the coordinates of a next viewpoint to discriminate
the object against similar ones, if any, and eliminates ambiguities. We also
describe a complete pipeline from a real object's scans to the viewpoint
selection and classification. We validate our approach with a Franka Emika
Panda robot and common household objects featured with ambiguities. We released
the source code to reproduce our experiments.

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The categories of this paper are: hep-ex
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The categories of this paper are: bayes-an
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The categories of this paper are: plasm-ph
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The categories of this paper are: supr-con
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: alg-geom
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The categories of this paper are: econ
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The categories of this paper are: patt-sol
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-lat
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The categories of this paper are: solv-int
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The categories of this paper are: gr-qc
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The categories of this paper are: adap-org
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The categories of this paper are: q-bio
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The categories of this paper are: math