Research Paper#Robotics, Humanoid Locomotion, Audio-Driven Animation🔬 ResearchAnalyzed: Jan 3, 2026 16:02
Audio-Driven Expressive Humanoid Locomotion
Published:Dec 29, 2025 17:59
•1 min read
•ArXiv
Analysis
This paper addresses a significant limitation in humanoid robotics: the lack of expressive, improvisational movement in response to audio. The proposed RoboPerform framework offers a novel, retargeting-free approach to generate music-driven dance and speech-driven gestures directly from audio, bypassing the inefficiencies of motion reconstruction. This direct audio-to-locomotion approach promises lower latency, higher fidelity, and more natural-looking robot movements, potentially opening up new possibilities for human-robot interaction and entertainment.
Key Takeaways
- •Proposes RoboPerform, a novel framework for direct audio-to-locomotion.
- •Eliminates the need for explicit motion reconstruction, reducing latency and improving fidelity.
- •Enables humanoid robots to perform music-driven dance and speech-driven gestures.
- •Employs a ResMoE teacher policy and a diffusion-based student policy for audio style injection.
Reference
“RoboPerform, the first unified audio-to-locomotion framework that can directly generate music-driven dance and speech-driven co-speech gestures from audio.”