A Contribution to Resource-Aware Architectures for Humanoid Robots
The goal of this work is to provide building blocks for resource-aware robot architectures. The topic of these blocks are data-driven generation of context-sensitive resource models, prediction of future resource utilizations, and resource-aware computer vision and motion planning algorithms. The im...
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Main Author: | |
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
KIT Scientific Publishing
2017
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Series: | Karlsruhe Series on Humanoid Robotics
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Kröhnert, Manfred |4 auth | |
245 | 1 | 0 | |a A Contribution to Resource-Aware Architectures for Humanoid Robots |
260 | |b KIT Scientific Publishing |c 2017 | ||
300 | |a 1 electronic resource (XIII, 193 p. p.) | ||
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337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Karlsruhe Series on Humanoid Robotics | |
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a The goal of this work is to provide building blocks for resource-aware robot architectures. The topic of these blocks are data-driven generation of context-sensitive resource models, prediction of future resource utilizations, and resource-aware computer vision and motion planning algorithms. The implementation of these algorithms is based on resource-aware concepts and methodologies originating from the Transregional Collaborative Research Center ""Invasive Computing"" (SFB/TR 89). | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
546 | |a English | ||
653 | |a Invasive Computing | ||
653 | |a Vorhersage | ||
653 | |a Ressourcenmodelle | ||
653 | |a Motion Planning | ||
653 | |a Prediction | ||
653 | |a Resourcemodels | ||
653 | |a Robotik | ||
653 | |a Bewegungsplanung | ||
653 | |a Robotics | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731506324 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/44022 |7 0 |z DOAB: description of the publication |