Addressing Failures in Robotics using Vision-Based Language Models (VLMs) and Behavior Trees (BT)

Fuente: arXiv
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Autori principali: Ahmad, Faseeh, Styrud, Jonathan, Krueger, Volker
Natura: Preprint
Pubblicazione: 2024
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author Ahmad, Faseeh
Styrud, Jonathan
Krueger, Volker
author_facet Ahmad, Faseeh
Styrud, Jonathan
Krueger, Volker
contents In this paper, we propose an approach that combines Vision Language Models (VLMs) and Behavior Trees (BTs) to address failures in robotics. Current robotic systems can handle known failures with pre-existing recovery strategies, but they are often ill-equipped to manage unknown failures or anomalies. We introduce VLMs as a monitoring tool to detect and identify failures during task execution. Additionally, VLMs generate missing conditions or skill templates that are then incorporated into the BT, ensuring the system can autonomously address similar failures in future tasks. We validate our approach through simulations in several failure scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2411_01568
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Addressing Failures in Robotics using Vision-Based Language Models (VLMs) and Behavior Trees (BT)
Ahmad, Faseeh
Styrud, Jonathan
Krueger, Volker
Robotics
In this paper, we propose an approach that combines Vision Language Models (VLMs) and Behavior Trees (BTs) to address failures in robotics. Current robotic systems can handle known failures with pre-existing recovery strategies, but they are often ill-equipped to manage unknown failures or anomalies. We introduce VLMs as a monitoring tool to detect and identify failures during task execution. Additionally, VLMs generate missing conditions or skill templates that are then incorporated into the BT, ensuring the system can autonomously address similar failures in future tasks. We validate our approach through simulations in several failure scenarios.
title Addressing Failures in Robotics using Vision-Based Language Models (VLMs) and Behavior Trees (BT)
topic Robotics
url https://arxiv.org/abs/2411.01568