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Towards a cloud-based architecture for 3D object comprehension in cognitive robotics
| Venue: | The 6th International Conference on Advanced Cognitive Technologies and Applications, 25-29th of May 2014 |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Sennersten_towardsa,
author = {Charlotte Sennersten and Ahsan Morshed and Martin Lochner and Craig Lindley},
title = {Towards a cloud-based architecture for 3D object comprehension in cognitive robotics},
booktitle = {The 6th International Conference on Advanced Cognitive Technologies and Applications, 25-29th of May 2014},
year = {}
}
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Abstract
Abstract—Cognitive robotics can take advantage of distributed, web-based information as a foundation for comprehending 3D objects in a 3D scanned world. The proposed CogOnto model makes possible grounding a cognitive computing system with sensor data gathered from diverse and heterogeneous sources, associated with humanly crafted symbolic descriptors. The system supports cognitive embodiment within the totality of an information ecology, and not just within the physical world where an individual robot, essentially a mobile peripheral device, is located. The informed system uses 3D objects as common denominators for shared world comprehension.
Keyphrases
cloud-based architecture object comprehension cognitive robotics physical world abstract cognitive robotics common denominator symbolic descriptor information ecology individual robot cognitive computing system scanned world world comprehension informed system heterogeneous source sensor data cognitive embodiment web-based information cogonto model mobile peripheral device
