Search Results for author:
Found 3 papers, 0 papers with code
Competence-Aware Path Planning via Introspective Perception
First, perception errors are learned in a model-free and location-agnostic setting via introspective perception prior to deployment in novel environments.
Improving Competence for Reliable Autonomy
Given the complexity of real-world, unstructured domains, it is often impossible or impractical to design models that include every feature needed to handle all possible scenarios that an autonomous system may encounter.
Learning to Optimize Autonomy in Competence-Aware Systems
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradigm to deploy autonomous systems in domains that require occasional reliance on humans.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
