KEC combines Fable and Astra with RSS for agentic real2sim
Overview
Berkeley Robotics presents a demonstration where an agentic system combines Claude Fable and GPT-6 Astra with RoboSimStudio (RSS) to reconstruct physical environments from online images or Amazon links within two hours. This workflow tunes simulation parameters—including geometry, dynamics, deformations, materials, lighting, texture, and camera extrinsics—to match input video, addressing prior limitations in scaling agentic robotics to new environments. The post notes that while combining AI models remains more art than science currently, this approach represents an evolution supported by recent results on agentic weight tuning and RSI.
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- Ken Goldberg — X RoboticsBerkeley Robotics Demonstrates Agentic Real-to-Sim Pipeline Combining Fable, Astra, and RSS for Rapid Environment Reconstruction
Berkeley Robotics presents a demonstration where an agentic system combines Claude Fable and GPT-6 Astra with RoboSimStudio (RSS) to reconstruct physical environments from online images or Amazon links within two hours. This workflow tunes simulation parameters—including geometry, dynamics, deformations, materials, lighting, texture, and camera extrinsics—to match input video, addressing prior limitations in scaling agentic robotics to new environments. The post notes that while combining AI models remains more art than science currently, this approach represents an evolution supported by recent results on agentic weight tuning and RSI.
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