3 papers
cs.RO2024
Safe and Personalizable Logical Guidance for Trajectory Planning of Autonomous Driving
Yuejiao Xu, Ruolin Wang, Chengpeng Xu +1
Autonomous vehicles necessitate a delicate balance between safety, efficiency, and user preferences in trajectory planning. Existing traditional or learning-based methods face chal…
cs.LO2024
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
Ruolin Wang, Yuejiao Xu, Jianmin Ji
Formal representations of traffic scenarios can be used to generate test cases for the safety verification of autonomous driving. However, most existing methods are limited to high…
cs.RO2020
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Nan Lin, Yuxuan Li, Yujun Zhu +6
Traditionally, reinforcement learning methods predict the next action based on the current state. However, in many situations, directly applying actions to control systems or robot…