Multimodal explainability module using vision-language models and heat maps enables robots to generate natural-language summaries of navigation observations, with n=30 user studies showing majority preference for real-time explanations and improved trust.
Enhancing robot explanation capabilities through vision-language models: a preliminary study by interpreting visual inputs for improved human-robot interaction
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Trust Through Transparency: Explainable Social Navigation for Autonomous Mobile Robots via Vision-Language Models
Multimodal explainability module using vision-language models and heat maps enables robots to generate natural-language summaries of navigation observations, with n=30 user studies showing majority preference for real-time explanations and improved trust.