Poster · Sydney

LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving

Name: LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
Start: 2026-12-08T10:00:00+11:00
End: 2026-12-08T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Tue 8 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 1
Authors: Yuechen Luo, Fang Li, Shaoqing Xu, Yang Ji, Zehan Zhang, Bing Wang, Shen Yuannan, Jianwei Cui, Long Chen, Guang Chen, Hangjun Ye, Zhi-Xin Yang and 1 more
Organisations: Tsinghua University, University of Macau, Klavis AI, Xiaomi, Li Auto, Alibaba, Renmin University of China
QRS classification: Reinforcement learning, Language models, Computer vision, Robotics and embodied AI

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