Robotic Odor Source Localization with AI Methods

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Robotic odor source localization is a technology that enables a mobile robot or autonomous agent to locate hidden odor sources in unknown environments. This approach has significant potential for replacing human searchers in hazardous situations, such as detecting chemical leaks or gas emissions. The key challenge lies in designing effective navigation algorithms that allow the robot to respond appropriately to sensory inputs. This presentation explores various olfactory-based navigation strategies, including AI-driven algorithms and semantic navigation approaches that fuse visual and olfactory data. The presentation also highlights real-world applications that demonstrate the capabilities and impact of robotic odor source localization systems.