RoPL
The RoPL has been a center of excellence for Robotic research, teaching, and practice since its founding in 2022.
Latest Preprints
(2025).
Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments.
https://ieeexplore.ieee.org/document/11197904/.
(2025).
Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning.
arXiv preprint arXiv:2507.21545.
(2025).
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs.
arXiv preprint arXiv:2506.02860.
(2025).
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning.
arXiv preprint arXiv:2503.10480.
(2024).
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs.
arXiv preprint arXiv:2409.18411.