Author

Yan-Xin Zhou

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Preprint Aug 2026

Toward the Cognitive--Physical Limits of Embodied Intelligence through a World-Model-Centric Autonomous Racing Agent

A boundary-aware methodology in which world models help embodied agents represent, predict, and continually refine their capability boundaries for safer real-world deployment is suggested.

Zitong Shan, Baichuan Lou, Yan-Xin Zhou et al. · 0 citations

Jul 2026

A2RL Vmax: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction

This work introduces the A2RL V\textsubscript{max} open-source dataset, specifically designed for perception tasks in high-speed autonomous driving and multi-vehicle interaction, and is the first large-scale dataset in autonomous racing to feature professionally annotated LiDAR point clouds, enabling deep learning-base...

Marvin Klemp, Dominic Ebner, Cornelius Schröder et al. · arXiv.org · 0 citations