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Intelligent object anchoring using relative anchors

Authors: Torsten Heyer; Axel Graser;

Intelligent object anchoring using relative anchors

Abstract

Object anchoring is a very important and useful concept, especially for robotic systems which use two different levels to represent objects, symbolic and sub-symbolic. The right sub-symbolic information acquired from sensors have to be combined with the symbolic description that points to the same physical object which is often a time-consuming and error-prone procedure, e.g. due to unsuccessful detection using machine vision. In this paper an extension of this anchoring concept is given using relative anchors which presents an intelligent object representation and allows the reduction of necessary machine vision operations. Also the inaccuracies given by the algorithms used for detection are taken into account and used to enhance the object anchoring. The concept is evaluated on a robotic system in a library scenario and the benefit is presented.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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