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Autonomy Systems Research
  • Home
  • Journal
    • 2026
  • Reading Notes
    • Behavior Trees in Robotics and AI
    • Probabilistic Robotics - State Estimation Chapter
  • Syntheses
    • Memory Systems for Autonomous Robots with VLA Architectures
    • State Estimation Approaches for Mobile Robots
  • Courses
    • CS25: Transformers United V6
  • Surveys
    • Unitree GO2 Pro Embodied AI Stack Survey
  • Knowledge Base
    • Watchdog Timers in Autonomous Systems
  • The Backlog of the Strange
    • Example Strange Seed: Terrain Texture as an Implicit Velocity Estimator
    • Tachikoma Fleet: Personality & Emergence (Research Packet)
      • Notes from the Field #1: Two Agents Build Their Own Memory System
      • Personality Emergence Research Plan
      • Phase 1.1: LLM Agents & Tool Use Survey
      • Phase 1.2: Long-term Memory for Agents Survey
      • Phase 1.3: Multi-turn / Longitudinal Dynamics Survey
      • Phase 1.4: Multi-agent Emergence Survey
      • Phase 1.5: Self-modeling & Identity Governance Survey
      • Phase 1.6: Behavioral Science Insights Survey
      • Phase 1.7: Academic Sources Mining
      • Phase 1.8: Phase 1 Synthesis - Cross-Area Patterns and Recommendations
      • Phase 2.1: Multi-agent Memory Evolution - Depth Dive
      • Phase 2.2: Governed Self-Modification - Depth Dive
      • Phase 2.3: Longitudinal Personality Measurement - Depth Dive
      • Phase 2.4: Social Norm Emergence - Depth Dive
      • Phase 2.5: Stress Response Mechanisms - Depth Dive
      • Phase 3.1: Meta-Synthesis — What the Research Tells Us
      • Phase 3.2: Architecture Options - Concrete Implementation Approaches
      • Phase 3.3: Measurement Framework - How to Evaluate Emergence
      • Phase 3.4: SOUL.md Governance Design - Policy Update Mechanisms
      • Phase 3.5: Final Recommendations - Complete Implementation Guide
      • Tachikoma Soul Research
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