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Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Research article (Robotics: Science and Systems XX, 2024) · cited 23× · AI/ML
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Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Summary

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers is a scholarly article[1].

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  • Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/vid2robot-end-to-end-video-conditioned-policy-learning-with-cross-attention-transformers
MLA “Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vid2robot-end-to-end-video-conditioned-policy-learning-with-cross-attention-transformers.
BibTeX @misc{4ortxyz_vid2robot-end-to-end-video-conditioned-policy-learning-with-cross-attention-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/vid2robot-end-to-end-video-conditioned-policy-learning-with-cross-attention-transformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers — https://4ort.xyz/entity/vid2robot-end-to-end-video-conditioned-policy-learning-with-cross-attention-transformers (retrieved 2026-05-24)

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