autonomous driving 1control policy 1dual-stream architecture 1spatial reasoning 1vision-language models 1
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cs.RO2026
S-squared-VLA: Decoupling Semantic and Spatial Streams in Vision-Language-Action Models for Autonomous Driving
Jianguo Yu, Rukang Wang, Duanfeng Chu +3
The paper introduces S-squared-VLA, a vision‑language‑action model that separates semantic intent reasoning from spatial geometry processing to improve low‑level control for autono…
cs.RO2026
D-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving
Renju Feng, Rukang Wang, Ning Xi +4
Traditional end-to-end autonomous driving frameworks frequently suffer from the "style-averaging" dilemma when trained on high-variance human demonstrations, yielding homogenized,…