What is recorded here?
Released a multi-robot vision-language-action model and training pipeline combining fused pretrained visual features, a language backbone and tokenized robot actions, with efficient target-robot fine-tuning.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Prismatic, Llama2, DINOv2, SigLIP and OpenX data are inherited. This is an accessible integrated system/resource, not invention of VLA or LoRA. Selected task success does not certify safe unattended control or universal generalization.
Read the original work
- OpenVLA: An Open-Source Vision-Language-Action Model
- Kim et al.: open vision-language-action training and adaptation resource — original project
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair; Rafael Rafailov; Ethan Foster; Grace Lam; Pannag Sanketi; Quan Vuong; Thomas Kollar; Benjamin Burchfiel; Russ Tedrake; Dorsa Sadigh; Sergey Levine; Percy Liang; Chelsea Finn
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
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English catalogue narrative
Kim et al.: open vision-language-action training and adaptation resource
Released a multi-robot vision-language-action model and training pipeline combining fused pretrained visual features, a language backbone and tokenized robot actions, with efficient target-robot fine-tuning.
Scientific scope
Prismatic, Llama2, DINOv2, SigLIP and OpenX data are inherited. This is an accessible integrated system/resource, not invention of VLA or LoRA. Selected task success does not certify safe unattended control or universal generalization.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair; Rafael Rafailov; Ethan Foster; Grace Lam; Pannag Sanketi; Quan Vuong; Thomas Kollar; Benjamin Burchfiel; Russ Tedrake; Dorsa Sadigh; Sergey Levine; Percy Liang; Chelsea Finn
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.