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Command humanoids *directly* with natural language? Introducing LangWBC, a generative, end-to-end policy that turns natural language into real-world whole-body humanoid control! 💬→🦿Smooth, robust, surprisingly intuitive! See more 👉 #RSS2025
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Intuition of LangWBC: Map language to whole-body motion, using a CVAE for its structured latent space→Enables generalization to linguistic variations & unseen latents! 1. Train lang.-agnostic RL experts for motion tracking 2. Distill into a single e2e policy conditioned on lang.

Real-world deployment shows LangWBC in action: ✅ Agile, versatile whole-body motion ✅ Smooth transitions—e.g., walking ➡️ running ✅ Emergent motions via latent space blending ("walk" + "sidestep" = diagonal!) ✅ Easy integration with LLMs for natural interaction

📄 This work has been accepted to #RSS2025! Check out the full paper here: Big thanks to our collaborators @Shaoyy2003 @x_h_ucb @qiayuanliao @t_k_233 @KoushilSreenath and everyone who supported this work!

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Language-to-motion in one shot. LangWBC feels like GPT for humanoids.

Imagine commanding robots with words, like a sci-fi dream come true! 🌠 Who knew talking could create motion? Impressive work! 🤖

seems the feasible motions are too few( walk, run, wave) can we do sth more?

Nice work Zhongyu! Congratulations~ May I know how do you obtain base linear velocity in real world as you mention in your paper? QwQ

Great work! No codebase yet?
