UnifoLM-WLA-1.0: One Model Driven, Whole-Body Coordination
Connects embodied understanding, interaction-centric world modeling and action learning for tabletop and whole-body humanoid manipulation.
How are future states modeled? Generation quality, physical consistency and closed-loop evaluation are different questions.
Connects embodied understanding, interaction-centric world modeling and action learning for tabletop and whole-body humanoid manipulation.
Describes a controllable multi-view world model used for driving simulation, scenario generation, and evaluation.
Huawei's official WEWA description links generated scenarios in a cloud world engine with an on-vehicle world behavior model.
A platform of video curation, tokenizers, pretrained world models and post-training for physical-AI applications.
Models video, text and vehicle actions as sequences to generate conditioned driving scenes and possible futures.
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