2 papers
cs.RO2024
AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility
Wenli Xiao, Haoru Xue, Tony Tao +3
Recent works in the robot learning community have successfully introduced generalist models capable of controlling various robot embodiments across a wide range of tasks, such as n…
cs.RO2024
Autonomous Drifting Based on Maximal Safety Probability Learning
Hikaru Hoshino, Jiaxing Li, Arnav Menon +2
This paper proposes a novel learning-based framework for autonomous driving based on the concept of maximal safety probability. Efficient learning requires rewards that are informa…