A method automatically constructs a causal model from behavior tree structure and domain knowledge to generate real-time causal counterfactual explanations for robot decisions.
A surrogate model framework for explainable autonomous behaviour
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
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.
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Temporal Counterfactual Explanations of Behaviour Tree Decisions
A method automatically constructs a causal model from behavior tree structure and domain knowledge to generate real-time causal counterfactual explanations for robot decisions.
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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.