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From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control
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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By Igor Melnyk
5
33 ratings
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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