3 papers
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.RO2026
Track-Guided Hierarchical Reinforcement Learning for Autonomous Vehicle Drifting with Minimum-Lap-Time Planning
Sheng Zhao, Bolin Zhao, Xiaodong Wu +1
In Formula 1, drivers optimize racing lines within tire grip limits to minimize lap times; however, in rally racing, drivers intentionally break traction to drift on loose surfaces…
cs.RO2026
Steeringless Drifting: Differential-Torque Control of a Four-Wheel Independently Driven Vehicle
Sheng Zhao, Zexin Wu, Dongyang Zhou +2
Control methods for emerging vehicle chassis architectures are important for autonomous driving near handling limits. Unlike conventional drift control, which relies on mechanical…