| Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots | |
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| Author | |
| Abstract |
Learning enabled components (LECs) trained using data-driven algorithms are increasingly being used in autonomous robots commonly found in factories, hospitals, and educational laboratories. However, these LECs do not provide any safety guarantees, and testing them is challenging. In this paper, we introduce a framework that performs weighted simplex strategy based supervised safety control, resource management and confidence estimation of autonomous robots.
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| Year of Publication |
2019
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| Conference Name |
2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC)
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| Date Published |
05/2019
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| Publisher |
IEEE
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| Conference Location |
Valencia, Spain
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| URL |
https://ieeexplore.ieee.org/document/8759270
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| DOI |
10.1109/ISORC.2019.00032
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| Google Scholar | BibTeX | XML | DOI | |