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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

14,109 次观看 • 1 年前 •via X (Twitter)

9 条评论

Zhongyu Li 的头像
Zhongyu Li1 年前

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.

Zhongyu Li 的头像
Zhongyu Li1 年前

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

Zhongyu Li 的头像
Zhongyu Li1 年前

📄 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!

TXYZ 的头像
TXYZ1 年前

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LECCA Intern (Ø,G) 🍜 的头像
LECCA Intern (Ø,G) 🍜1 年前

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

Sara Orbgirl 的头像
Sara Orbgirl1 年前

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

Shi Soul 的头像
Shi Soul1 年前

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

Weishuai Zeng 的头像
Weishuai Zeng1 年前

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

Sanjar 的头像
Sanjar1 年前

Great work! No codebase yet?

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