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AgiBot GE-Act 2.0: A World Action Model Trained From Scratch

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AgiBot released GE-Act 2.0, a native world action model trained entirely from scratch on embodied manipulation data instead of inheriting a pretrained video generator. Scaling data from 300 to 30,000 hours lifted overall success on G1-OP from 17.1% to 44.1%.

World-action models VLA Robot Manipulation Zero-Shot Data Scaling Pretraining AgiBot World Models Embodied AI AgiBot Robotics

Category: world-model

Author: @Chinazhidx

Date: 2026-09-09T00:00:00

Duration: 228.633s

Source: https://x.com/Chinazhidx/status/2097632423555289456

Reference: https://arxiv.org/abs/2609.05588

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