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

Embodied artificial intelligence aims to develop agents that perceive, reason, and act through continuous interaction with the physical world. However, most embodied systems are still evaluated within conservative safety margins or moderate interaction regimes, leaving their capability boundaries under extreme conditio...

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