4 papers · 1 filter
VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots
Peizhen Li, Longbing Cao, Xiao-Ming Wu +1
Humanoid facial expression shadowing enables robots to realistically imitate human facial expressions in real time, which is critical for lifelike, facially expressive humanoid rob…
Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach
Siyuan Yang, Yang Zhang, Haoran He +4
Vision-Language-Action (VLA) models, trained via flow-matching or diffusion objectives, excel at learning complex behaviors from large-scale, multi-modal datasets (e.g., human tele…
Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots
Yushi Wang, Changsheng Luo, Penghui Chen +7
Humanoid soccer poses a representative challenge for embodied intelligence, requiring robots to coordinate agile locomotion with unreliable visual perception in dynamic environment…
FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction
Yanghai Zhang, Changyi Liu, Keting Fu +3
This paper proposes FABG (Facial Affective Behavior Generation), an end-to-end imitation learning system for human-robot interaction, designed to generate natural and fluid facial…