Author

Lin-Qing Zhong

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Preprint Sep 2026

GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation

World-action models (WAM) predict future states to guide robot actions, enabling learning from both action-free video and action-labeled interaction. Most inherit pretrained video generators, leaving WAM pretraining and scaling underexplored. We introduce Genie Envisioner Act 2.0 (GE-Act 2.0), a world-action model whos...

AgiBot Research Team, Renhang Liu, Wen-Zhi Zhao et al. · 2 citations · ⚡1

Preprint Jul 2026

EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots

EVA-Client unifies the real-robot stages of the policy iteration loop within a single codebase, and consolidates major real-time inference strategies, synchronous and asynchronous execution, ACT-style temporal ensembling, Real-Time Chunking, and a naive-async ablation baseline, behind a single configuration surface.

He Yang, Yang Yi, Liyao Wang et al. · 0 citations