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Published at October 22

DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning

cs.CV

cs.AI

Released Date: October 22, 2024

Authors: Srujan Deolasee, Siva Kailas, Wenhao Luo, Katia Sycara, Woojun Kim

Arxiv: https://arxiv.org/abs/2410.17186v1

Refer to caption

Model	Fuel coefficient
Model	$F_{c}=1$	$F_{c}=10$
CAtNIPP (trained on $F_{c}$ =1)	$13.7\pm 2.6$	$25.0\pm 5.3$
CAtNIPP (trained on $F_{c}$ =10)	$16.2\pm 3.6$	$20.9\pm 3.0$
CAtNIPP + DR	$14.9\pm 2.4$	$24.0\pm 5.6$
DyPNIPP (Ours)	$\textbf{10.3}\pm\textbf{1.6}$	$\textbf{14.7}\pm\textbf{2.9}$