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Found 3 papers, 1 papers with code
Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints
This paper focuses on the design of hierarchical control architectures for autonomous systems with energy constraints.
Analysis and Design of Uncertain Cyber-Physical Systems
Such behavior is not easily predictable because of high uncertainty in the environment (people), which is only approximately represented by machine learning models, but that is inherently due to lack of knowledge.
Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System
We apply a compositional formal modeling and verification method to an autonomous aircraft taxi system.
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