World Action Model
PulseAugur coverage of World Action Model — every cluster mentioning World Action Model across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Just Action Model unifies VLA and WAM approaches for robot control
Researchers have introduced the Just Action Model (JAM), a novel framework for robot control that decouples key components of policy training. JAM separates backbone initialization, future observation objectives, and in…
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RynnUnify: A Unified Embodied Model for Planning and Robot Control
Researchers have introduced RynnUnify, a 16-billion parameter unified embodied model designed to integrate visual planning, physical reasoning, and robot control. This Mixture-of-Transformers architecture builds upon Co…
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Dream Labs launches AI robot controller Dream-1, raises $90M
US-based startup Dream Labs has launched Dream-1, an AI model capable of controlling robots even without prior training data. The model, which accepts text commands and outputs robot actions, is available via API starti…
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Research paper on NeuronDiscover framework withdrawn from arXiv
A research paper titled "NeuronDiscover: Agent-in-Twin for Mechanistic Discovery in Neuronal Microenvironments with World Action Models" was submitted to arXiv, proposing a novel framework for mechanistic discovery in n…
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FastOPD framework enables lightweight VLA model deployment via distillation
Researchers have developed FastOPD, a new framework for deploying lightweight Vision-Language-Action (VLA) models. This method uses on-policy distillation to transfer knowledge from large, computationally expensive VLA …
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FastOPD framework enables efficient deployment of large VLA models
Researchers have developed FastOPD, a new framework designed to make large Vision-Language-Action (VLA) models more deployable in real-world scenarios by reducing their computational costs. This method uses on-policy di…
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New AI models advance robot manipulation with improved memory and planning
Researchers have developed new methods for robot manipulation that improve performance in long-horizon tasks. The 2AM system separates task memory from the action model, allowing for more precise control and achieving a…
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Galaxy General unveils WAM-TTT, enabling robots to learn from human videos
Galaxy General has released the world's first Test-Time Training (TTT) framework, WAM-TTT, for embodied AI models. This framework allows robots to learn and adapt in real-time using human demonstration videos, addressin…
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Itashi Intelligence Unveils Embodied AI 2.0 with Human-Centric Data and World Models
Itashi Intelligence, a Chinese embodied intelligence startup, has unveiled its "2.0 era" advancements at ICRA 2026, focusing on a complete pipeline from data collection to model and hardware execution. The company empha…
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Galbot founder: Embodied AI nears AlphaGo, ChatGPT milestones
Galbot founder and CTO Wang He, speaking at ICRA 2026, stated that embodied AI is approaching its "AlphaGo" and "ChatGPT" moments. The company has achieved breakthroughs in autonomous humanoid robot tennis matches and d…