Author

Jianwu Fang

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Preprint Aug 2026

4D-WAM: 4D Consistent World Modeling for Autonomous Driving

Emerging World-Action Models (WAMs) have demonstrated promising performance in autonomous driving by jointly modeling future driving scene evolution and trajectory planning. However, existing WAMs are typically trained with video data, which is only 2D projections of the underlying 4D driving scene. Consequently, WAMs...

Jiacheng Fu, Yibo Yuan, Meng Tian et al. · 0 citations

Preprint Aug 2026

SUV: Future Scene Understanding as Video Generation for End-to-End Driving

This work introduces SUV, a unified end-to-end driving framework that casts future Scene Understanding as Video generation using a pretrained video foundation model, and shows that structured future supervision and direct future-stream access yield higher trajectory planning scores.

Yibo Yuan, Jiacheng Fu, Jiangtong Zhu et al. · 1 citation

2026

Generative Adversarial Self-Imitation Learning With Large Language Model Feedback for Robot Control and Navigation

Deep reinforcement learning (DRL) has achieved great success in many simulated and real-world robotic tasks. However, the difficulty of designing efficient and dense reward functions makes applying DRL to tackle complex long-horizon and open-world tasks a great challenge. Generative adversarial imitation learning (GAIL...

Keyvan Zhang, Zheng Fang, Enqi Zhao et al. · IEEE Transactions on robotic... · 0 citations