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Zhiyuan Unveils GO-2 Embodied Model with Action Thought Chain, Setting New Industry SOTA

Zhiyuan Unveils GO-2 Embodied Model with Action Thought Chain, Setting New Industry SOTA

June 14, 2026
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Zhiyuan Robotics has introduced a new embodied foundation model called Genie Operator-2 (GO-2). Its core mission is to close the gap between logical reasoning and precise action execution, enabling robots to understand commands and reliably carry out tasks.

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Key Innovation: The First Action Chain-of-Thought

GO-2 introduces a fresh interaction logic that fundamentally changes how robots think:

Rejecting "Watch and Do": Unlike traditional models that output control signals directly, GO-2 first mentally generates a high-level action sequence as a complete task plan.

Think Clearly Before Acting: Using this structured intermediate representation, robots leap from perception to action space reasoning. This technology has been accepted by the top AI conference CVPR 2026.

Architecture Innovation: Asynchronous Dual System Ensures Precision

To address stability issues during execution, Zhiyuan built a precise asynchronous system with two coordinated components:

Slow System (Brain): Operates at a low frequency, continuously producing long-range logical action plans or "intention flow."

Fast System (Muscle): Runs at a high frequency, aligning in real time with the slow system. When desk height changes or objects slip, the fast system instantly corrects to keep the action on the intended path.

Outstanding Results: SOTA Records Across Multiple Benchmarks

In authoritative tests measuring embodied intelligence, GO-2 showed dominant performance:

LIBERO Benchmark: Achieved an average success rate of 98.5%, ranking first globally in four core tasks.

Genie Sim3.0: Trained only on simulation data, it reached an 82.9% success rate in real-world testing, significantly outperforming competitors like π0.5.

Industrial Vision: From Lab to Production Line

Zhiyuan Robotics is building more than a model — it's creating a closed-loop learning system:

Distributed Evolution: Through the Genie Studio platform, the model continuously collects interaction data in real environments and optimizes online, becoming smarter with use.

General Brain: GO-2 aims to serve as a general brain for embodied intelligence, helping robots transition smoothly from virtual simulations to complex industrial settings.

Conclusion: Ushering in the Era of Unity of Knowledge and Action

As Zhiyuan Official stated, the ultimate goal of embodied intelligence is to unify understanding and execution. With the launch of GO-2, robots are evolving from thinkers who only talk theory into doers that can precisely change the physical world.

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