OPENTECHNICAL PUBLICATION
OT-2026-000001173

Vision-language model for detecting and reasoning over failures in robotic manipulation

Published: 2026-09-15T19:03:58.291683Z
Permanent URL: https://opentechnical.org/p/OT-2026-000001173
Categories: Robotics & Automation > Robot Architectures

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ABSTRACT

Foundation models such as VLMs and LLMs are increasingly being used to address
open-world tasks in robotics. While these models excel at task execution, they
often face challenges in detecting and reasoning over failures, which are
skills that are crucial for navigating dynamic and complex environments. The
present disclosure provides a VLM that detects and reasons about failures in
robotic manipulation using natural language, where the natural language
feedback can then be used for improving downstream task performance through
error correction.

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OpenTechnical publication OT-2026-000001173
Published 2026-09-15T19:03:58.291683Z
https://opentechnical.org/p/OT-2026-000001173