Author

Xin-Hu Zheng

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Preprint Sep 2026

SLIP-VLA: Single-Step Latent Imagination for Policy Learning in Vision-Language-Action Models

Vision-Language-Action models are increasingly effective for robotic manipulation, yet most predict actions directly from current observations without explicitly modeling future scene evolution. Recent methods introduce future prediction to improve action generation, but dense future modeling often requires expensive i...

Tian-Fu Li, Hao-Xuan Xu, Wen-Bo Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Efficient Multi-Modal Planning with Reward-Guided Preference Optimization for Autonomous Driving

Safe and efficient trajectory planning is essential in autonomous driving. However, existing end-to-end approaches often fall short in both computational efficiency and safety guarantees. Methods based on imitation learning suffer from causal confusion, while rule-based scoring approaches often incur heavy computationa...

Cheng-Lin Chen, Lu-Jia Wang, Xin-Hu Zheng et al. · 0 citations

#machine learning Preprint Sep 2026

ActiveScale: Scaling Active Perception for Robots across Model, Data, and Hardware

Active perception is essential for robotic manipulation when fixed viewpoints leave task-relevant information occluded or unobserved. However, enabling vision-language-action (VLA) models to reason across changing viewpoints and actively acquire informative observations remains challenging. We present ActiveScale, a fr...

Shuai-Tao Zhou, Kai-Sheng Pang, Wen-Xuan Song et al. · 1 citation