A walrus optimization algorithm for sustainable internet of robotic things based on Q-Learning

The Internet of Robotic Things (IoRT) integrates cloud robotics, artificial intelligence, and the Internet of Things to work collaboratively and is popularly employed in various autonomous systems. However, these devices often struggle to meet real-time applicability due to limited battery, low comp...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 81; no. 15; p. 1464
Main Authors:	Varshney, Hirdesh, Singh, Avtar
Format:	Journal Article
Language:	English
Published:	New York Springer US 14.10.2025 Springer Nature B.V
Subjects:	Algorithms Artificial intelligence Compilers Computation offloading Computer Science Cost control Data processing Edge computing Energy consumption Energy efficiency Energy requirements Internet of Things Interpreters Machine learning Multiple objective analysis Neural networks Optimization Performance enhancement Processor Architectures Programming Languages Real time Robot learning Robotics Internet of robotic things Multi-objective optimization Load balancing Cloud robotics Task offloading Energy optimization
ISSN:	1573-0484, 0920-8542, 1573-0484
Online Access:	Get full text
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