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Generative Flow on Symbolic Abstractions for Embodiment Capa

2 reports1 reporting sourcesUpdated 5 days ago

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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery. This research proposes FOSA, a framework that discovers embodiment-specific capabilities by learning a grounded task generator. FOS, a Generative Flow Network, constructs symbolic task skeletons which are compiled into s…

Generated from attributed reports · Updated 2 hours ago

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  • 2026-10-15T20:26:05.479Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.

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10/14
  1. arXiv Robotics — research abstracts
    Code2Worlds-2: Physically Plausible Agent Harness for Embodied World Simulation

    Code2Worlds-2 is an extension of Code2Worlds that transforms 4D world generation into an embodied simulation by adding a SimReady Scene Compiler and a Simulator-in-the-Loop 4D Refiner. These modules enable the generation of physically plausible, simulator-compatible, and robot-interactable scenes through physics-aware scene compilation and simulation refinement.

  2. arXiv Robotics — research abstracts
    Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery

    This research proposes FOSA, a framework that discovers embodiment-specific capabilities by learning a grounded task generator. FOS, a Generative Flow Network, constructs symbolic task skeletons which are compiled into simulation environments. Low-level policy performance provides reward signals for abstract policies, enabling the discovery of diverse and executable tasks across heterogeneous platforms. The code and demonstration videos are available at the provided link.

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