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NIMBUS: A Hybrid Cloud-Crowd Realtime Architecture for Visual Learning
in Interactive Domains
release_bjg3jyymmjh6pf4hdhnvpm7od4
by
Nick DePalma, Cynthia Breazeal
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as a report
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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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