arXiv AI By Jiho Lee, Nisar Ahmed, Kyle Hollins Wray, Zachary Sunberg

Scalable Rao-Blackwellized Online Planning for High-Dimensional POMDPs

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arXiv AI
Jun 16

PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty

arXiv:2606. 15654v1 Announce Type: cross Abstract: Real-world robot task planning must operate under both stochastic action execution and partial observability, yet constructing Partially Observable Markov Decision Process (POMDP) models for real robotics domains remains difficult and labor-intensive.

By Wenjing Tang, Xuanjin Jin, Yuan Liu, Renming Huang, Cewu Lu, Panpan Cai
arXiv Machine Learning
Aug 17

Expected Free Energy-based Informative Path Planning for Robotic Mars Exploration

arXiv:2608. 14466v1 Announce Type: cross Abstract: An autonomous robot efficiently exploring an unknown environment, such as looking for water sources on Mars, faces two simultaneous demands: building an accurate information map while quickly finding the regions of greatest value, and paying for every meter of travel and the cost of every measurement it takes.

By Ajith Anil Meera, Pablo Lanillos, Wouter Kouw