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cs.RO2025
Planning with Linear Temporal Logic Specifications: Handling Quantifiable and Unquantifiable Uncertainty
Pian Yu, Yong Li, David Parker +1
This work studies the planning problem for robotic systems under both quantifiable and unquantifiable uncertainty. The objective is to enable the robotic systems to optimally fulfi…
cs.RO2024
Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction
Shili Sheng, Pian Yu, David Parker +2
Online planning for partially observable Markov decision processes (POMDPs) provides efficient techniques for robot decision-making under uncertainty. However, existing methods fal…