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BAAI and collaborators introduce CausGround, a plug-and-play causal grounding framework for embodied agents

AIBAAI, ECNU, NPU, UCAS and CASIA introduce CausGround, a plug-and-play causal interaction grounding framework that the post says doubles embodied planning with zero parameter updates. CausGround adds a lightweight symbolic layer that distills raw interactions into reusable Action Preconditions and Effects, letting agents reason about what is required before an action and how the world changes after it.
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Facing the high latency and black-box bottlenecks of end-to-end models like Astra, @BAAIBeijing, ECNU, NPU, UCAS & CASIA officially introduce CausGround — a plug-and-play causal interaction grounding framework that doubles embodied planning with ZERO parameter updates!

What remains truly timeless in the embodied harness? An external causal add-on that continuously evolves with data. CausGround introduces a lightweight symbolic layer—distilling raw interactions into reusable Action Preconditions & Effects so agents explicitly reason about "what is required before" and "how the world changes after" without trial-and-error.

With ZERO fine-tuning or parameter updates, it acts as a plug-and-play causal engine for frozen Qwen3.5,InternVL3.5, and Gemma 4 backbones:
🌐 Project:https://causground.github.io

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BAAI · x.comPublished

Original title: Facing the high latency and black-box bottlenecks of end-to-end models like Astra, @BAAIBeijing, ECNU, NPU, UCAS & CASIA officially intro...