Human-Inspired Context-Selective Multimodal Memory for Social Robots

This arXiv paper introduces a human-inspired approach to context-selective multimodal memory for social robots. The work enables robots to selectively process and retain information from multiple modalities based on contextual relevance, improving natural human-robot interaction.