量子位 (微信公众号)T2·Models
72 pts
Zhejiang University's ACES Lab OmniAI team introduces VLA-Delta, which turns task progress, spatial displacement and contact changes into explicit pretraining supervision so the representation behind action generation learns both task semantics and visual motion. Built on a 2B vision-language backbone, it reaches 98.4% average success on LIBERO and 68.0% on five real dual-arm robot tasks.