mlsanityData to 14 Oct 2026

BotDirector: Robot Storytelling Across the Symmetrical Reality with Multi-modal Interactions

arXiv 2606.03223 ↗First posted 2 Jun 2026cs.RO cs.AIcited by 0

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Abstract (arXiv)

Robot storytelling offers a unique blend of technological innovation and creative expression that engages children in unprecedented ways. However, the technical aspects are often too complicated for children. We propose an interactive system that facilitates robot storytelling with tangible and natural language interactions. Children arrange the playground with their own stuff and create narratives with an LLM agent. The created narratives are transformed into a motion sequence based on the map and characters, and the motions are executed by self-navigating swarm robots. This system enhances robot storytelling with flexible scenarios, enabling young children to create robot dramas with everyday objects.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 2 Jun 2026.

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2 of 4 references.

References · 2

  1. 2024Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytellingcited by 21
  2. 2024On the Emergence of Symmetrical Realitycited by 8

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  1. 2026Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models
  2. 2023Designing a realistic peer-like embodied conversational agent for supporting children's storytelling
  3. 2025Robot guide with multi-agent control and automatic scenario generation with LLM
  4. 2024From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent
  5. 2026An Embodied Companion for Visual Storytelling
  6. 2024From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems
  7. 2022Interactive Language: Talking to Robots in Real Time
  8. 2025MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio