Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach

no code implementations • 22 Jul 2018 • Luke Burks, Ian Loefgren, Nisar Ahmed

This work develops novel strategies for optimal planning with semantic observations using continuous state partially observable markov decision processes (CPOMDPs).

Clustering Decision Making

Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search

no code implementations • 3 Jun 2018 • Luke Burks, Ian Loefgren, Luke Barbier, Jeremy Muesing, Jamison McGinley, Sousheel Vunnam, Nisar Ahmed

In search applications, autonomous unmanned vehicles must be able to efficiently reacquire and localize mobile targets that can remain out of view for long periods of time in large spaces.