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ZENODO
Conference object . 2002
License: CC 0
Data sources: ZENODO
https://doi.org/10.1109/robot....
Article . 2003 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
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Real time visualization of robot state with mobile virtual reality

Authors: Amstutz, P.; Fagg, A. H.;

Real time visualization of robot state with mobile virtual reality

Abstract

With the deployment of large, distributed networks of cameras and other sensors, it is becoming necessary to also address the issue of how to effectively present the large volume of gathered information to a user. The paper presents a virtual/augmented reality architecture that has been explicitly designed for use with a fully-portable, wearable computing system. A critical component of this system is a network-based mechanism for the representation of virtual objects and the live communication of changes in their state to users located elsewhere on the network. By presenting virtual objects in a uniform manner over the network, it becomes easy to construct new dynamic, virtual environments that reflect the state of robots or humans within the real environment. We demonstrate the utility of the architecture through several robot and human tracking examples.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
10
Average
Top 10%
Average
3
4
Green