Integrating Vision and Olfaction via Multi-Modal LLM for Robotic Odor Source Localization

Integrating Vision and Olfaction via Multi-Modal LLM for Robotic Odor Source Localization

Odor source localization (OSL) technology allows autonomous agents like mobile robots to localize a target odor source in an unknown environment. This is achieved by an OSL navigation algorithm that processes an agent’s sensor readings to calculate action commands to guide the robot to locate the od...

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Bibliographic Details
Main Authors: Sunzid Hassan, Lingxiao Wang, Khan Raqib Mahmud
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
odor source localization
multi-modal robotics
large language models (LLMs)
robot operating system (ROS)
Online Access:https://www.mdpi.com/1424-8220/24/24/7875
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