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.
Efficient human-robot collaboration: when should a robot take initiative? The International Journal of Robotics Research , 36(5-7):563–579
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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.