3 papers
cs.RO2026
Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving
Xuanjin Jin, Yanxin Dong, Bin Sun +4
Planning under uncertainty for real-world robotics tasks, such as autonomous driving, requires reasoning in enormous high-dimensional belief spaces, rendering the problem computati…
cs.RO2026
PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty
Wenjing Tang, Xuanjin Jin, Yuan Liu +3
Real-world robot task planning must operate under both stochastic action execution and partial observability, yet constructing Partially Observable Markov Decision Process (POMDP)…
cs.RO2025
Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
Xuanjin Jin, Chendong Zeng, Shengfa Zhu +2
Uncertainties in dynamic road environments pose significant challenges for behavior and trajectory planning in autonomous driving. This paper introduces Hi-Drive, a hierarchical pl…