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1.7 KiB

Phase 0: Context System Bootstrap

Date: 2026-02-13 Objective: Create the scaffolding for the G1 expert agent knowledge base

What Was Done

  1. Created full directory structure:

    • context/ — 13 topic files (all provisional, ready for data)
    • reference/ — glossary.yaml with initial terms
    • examples/ — empty, ready for worked examples
    • phases/ — this file
    • assets/ — empty, ready for images/diagrams
    • tools/ — empty, ready for utility scripts
    • _archive/ — empty
  2. Created CLAUDE.md with:

    • Expert agent identity declaration
    • Lookup protocol (7-step question answering procedure)
    • Quick Topic Lookup table (17 rows)
    • Idea formulation protocol
    • Conventions and DO NOT rules
    • Evidence tier system (T0-T4)
    • Key concepts map
    • Content addition guidelines
    • History table
  3. Created topic files for:

    • hardware-specs, joint-configuration, sensors-perception
    • locomotion-control, manipulation
    • sdk-programming, ros2-integration
    • simulation, learning-and-ai
    • power-system, safety-limits
    • networking-comms, deployment-operations
    • equations-and-bounds, open-questions
  4. Created glossary with ~12 initial terms across hardware, sensors, software, control, power, and safety categories.

What's Next

  • Phase 1: Populate context files from official Unitree documentation, spec sheets, and SDK repos
  • Priority sources to find:
    • Official Unitree G1 spec sheet / product page
    • unitree_sdk2 GitHub repository and documentation
    • unitree_ros2 GitHub repository
    • URDF/MJCF models (MuJoCo Menagerie, Unitree repos)
    • Published papers on G1 locomotion / control
    • Community resources (forums, Discord, YouTube teardowns)