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Preprint Oct 2026

MemAct: Streaming Spatial Understanding with Memory and Active Exploration

Spatial understanding is essential for embodied agents navigating and interacting with the physical world. As observations arrive incrementally, agents must reason in a streaming manner. Yet streaming understanding must also be closed-loop: task-relevant evidence may require both recalling past observations and activel...

Yu-Xi Wei, Wei Huang, Qi-Rui Chen et al. · 0 citations
#artificial intelligence Preprint Oct 2026

DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving

Vision-Language Models (VLMs) and world models have demonstrated strong capabilities in semantic understanding and future scene evolution for autonomous driving. However, effectively integrating both capabilities for trajectory generation remains challenging. In this work, we propose DriveWLA, a unified World-Language-...

Shu-Zheng Wang, Hao-Xuan Li, Sheng-Zhen Li et al. · 0 citations

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