NIMBUS: A Hybrid Cloud-Crowd Realtime Architecture for Visual Learning in Interactive Domains release_bjg3jyymmjh6pf4hdhnvpm7od4

by Nick DePalma, Cynthia Breazeal

Released as a report .

2016  

Abstract

Robotic architectures that incorporate cloud-based resources are just now gaining popularity. However, researchers have very few investigations into their capabilities to support claims of their feasibility. We propose a novel method to exchange quality for speed of response. Further, we back this assertion with empirical findings from experiments performed with Amazon Mechanical Turk and find that our method improves quality in exchange for response time in our cognitive architecture.
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Type  report
Stage   submitted
Date   2016-02-24
Version   v1
Language   en ?
Number  CogArch4sHRI/2016/06
arXiv  1602.07641v1
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