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Index Social Protocols with LlamaIndex

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Linked challenge: Social Humanoid Navigation RAG with LlamaIndex and Claude Code

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Linked challenge

Social Humanoid Navigation RAG with LlamaIndex and Claude Code

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Using LlamaIndex, load a directory of markdown files containing 'Stadium Security Protocols' and 'Public Social Etiquette'. Create a VectorStoreIndex. Use Claude Code to write a script that verifies the index has correctly embedded terms like 'crowd density' and 'exclusion zone'.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Social Humanoid Navigation RAG with LlamaIndex and Claude Code

As humanoids move from labs to public spaces (e.g., Boston Dynamics at the FIFA World Cup), they must 'read the room' and adhere to complex social protocols. In this challenge, you will build a Socially-Aware Navigation Engine. Using LlamaIndex, you will create a RAG system that indexes safety manuals, international social etiquette guides, and FIFA-specific venue protocols. The agent, developed using Claude Code for rapid iterative engineering, must parse multi-modal perception data (e.g., human crowd density, crowd sentiment) and retrieve the correct behavioral response from the indexed knowledge base. For example, the robot should know how to navigate differently through a crowd of cheering fans versus a group of security personnel. You will focus on building efficient data connectors and query pipelines that allow the robot to adjust its global planner in ROS 2 based on retrieved social context.

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