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Author

Long-Yuan Zhang

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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...

Ren-Hang Liu, Wen-Zhi Zhao, Zhuo Yang et al. · 7 citations · ⚡4
Preprint Sep 2026

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

Genie Envisioner Act 2.0 (GE-Act 2.0) is introduced, a world-action model whose trainable generative and action components are all initialized from scratch on manipulation data, and its components are jointly trained with knowledge-aligned selective optimization (KASO), which reduces mismatched supervision.

AgiBot Research Team, Ren-Hang Liu, Wen-Zhi Zhao et al. · 4 citations · ⚡1
#small language model Open access Aug 2026

GSMultiAgent: A Multi-Agent Loop Framework atop Hermes Agent for Intelligent Design of Guidance Systems

GSMultiAgent is proposed, a multi-agent collaborative cascade framework built atop Hermes Agent, which transforms natural-language mission requirements into optimized guidance system models through structured agent cooperation with feedback-driven iterative refinement and establishes multi-agent coordination with struc...

Ji-Song Xiao, Chengwei Yang, Xiao Xu et al. · 0 citations

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