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Physical Coding: Robots That Check Their Work—and Keep the Fixes episode artwork

EPISODE · Sep 30, 2026 · 29 MIN

Physical Coding: Robots That Check Their Work—and Keep the Fixes

from Embodied AI 101 · host Shaoqing Tan

A new paper introduces self-evolving coding agents for robotics that represent task state and execution as code, enabling robots to verify, recover from failures, and evolve policies through real-world experience via the HexaAnything harness. This advances sim-to-real transfer by grounding robot learning in executable, verifiable code representations. In this episode of Embodied AI 101, we explore "Physical Coding: Robots That Check Their Work—and Keep the Fixes". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence. Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.

Episode metadata supplied by the publisher feed · Published Sep 30, 2026

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A new paper introduces self-evolving coding agents for robotics that represent task state and execution as code, enabling robots to verify, recover from failures, and evolve policies through real-world experience via the HexaAnything harness. This advances sim-to-real transfer by grounding robot learning in executable, verifiable code representations.

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Physical Coding: Robots That Check Their Work—and Keep the Fixes

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This episode was published on September 30, 2026.

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