11 Min.

[QA] From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control Arxiv Papers

    • Wissenschaft

Hierarchical control in robotics faces challenges with language interfaces. Learnable Latent Codes as Bridges (LCB) offer a solution, outperforming language-based baselines on complex tasks in embodied agent benchmarks.



https://arxiv.org/abs//2405.04798



YouTube: https://www.youtube.com/@ArxivPapers



TikTok: https://www.tiktok.com/@arxiv_papers



Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016



Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers




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Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

Hierarchical control in robotics faces challenges with language interfaces. Learnable Latent Codes as Bridges (LCB) offer a solution, outperforming language-based baselines on complex tasks in embodied agent benchmarks.



https://arxiv.org/abs//2405.04798



YouTube: https://www.youtube.com/@ArxivPapers



TikTok: https://www.tiktok.com/@arxiv_papers



Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016



Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers




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Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

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