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RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
VLM-driven 3D digital-twin embodied simulation. A minimal, locally runnable framework for research and education (SD-AgentFoundry-3D). VLM駆動エージェントによる3次元デジタルツイン身体化シミュレーション。ローカル実行・最小構成の研究/教育用基盤(SD-AgentFoundry-3D)
Recursive self-improvement for hybrid agents: digital and physical experience improving each other, with an evidence ledger that refuses unverified progress