Automated Robot Recovery from Assumption Violations of High-Level Specifications

Fuente: arXiv
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Auteurs principaux: Meng, Qian, Kress-Gazit, Hadas
Format: Preprint
Publié: 2024
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author Meng, Qian
Kress-Gazit, Hadas
author_facet Meng, Qian
Kress-Gazit, Hadas
contents This paper presents a framework that enables robots to automatically recover from assumption violations of high-level specifications during task execution. In contrast to previous methods relying on user intervention to impose additional assumptions for failure recovery, our approach leverages synthesis-based repair to suggest new robot skills that, when implemented, repair the task. Our approach detects violations of environment safety assumptions during the task execution, relaxes the assumptions to admit observed environment behaviors, and acquires new robot skills for task completion. We demonstrate our approach with a Hello Robot Stretch in a factory-like scenario.
format Preprint
id arxiv_https___arxiv_org_abs_2407_00562
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Automated Robot Recovery from Assumption Violations of High-Level Specifications
Meng, Qian
Kress-Gazit, Hadas
Robotics
68T40
This paper presents a framework that enables robots to automatically recover from assumption violations of high-level specifications during task execution. In contrast to previous methods relying on user intervention to impose additional assumptions for failure recovery, our approach leverages synthesis-based repair to suggest new robot skills that, when implemented, repair the task. Our approach detects violations of environment safety assumptions during the task execution, relaxes the assumptions to admit observed environment behaviors, and acquires new robot skills for task completion. We demonstrate our approach with a Hello Robot Stretch in a factory-like scenario.
title Automated Robot Recovery from Assumption Violations of High-Level Specifications
topic Robotics
68T40
url https://arxiv.org/abs/2407.00562