Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots
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.
Year of Publication
2019
Conference Name
2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC)
Date Published
05/2019
Publisher
IEEE
Conference Location
Valencia, Spain
URL
https://ieeexplore.ieee.org/document/8759270
DOI
10.1109/ISORC.2019.00032
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