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cs.RO2026
Toward the Cognitive--Physical Limits of Embodied Intelligence through a World-Model-Centric Autonomous Racing Agent
Zitong Shan, Baichuan Lou, Yanxin Zhou +8
Embodied artificial intelligence aims to develop agents that perceive, reason, and act through continuous interaction with the physical world. However, most embodied systems are st…
cs.RO2024★ 1 cited
Path Planning in Complex Environments with Superquadrics and Voronoi-Based Orientation
Lin Yang, Ganesh Iyer, Baichuan Lou +3
Path planning in narrow passages is a challenging problem in various applications. Traditional planning algorithms often face challenges in complex environments like mazes and trap…