5 papers
Extended Version: Multi-Robot Motion Planning with Cooperative Localization
Anne Theurkauf, Nisar Ahmed, Morteza Lahijanian
We consider the uncertain multi-robot motion planning (MRMP) problem with cooperative localization (CL-MRMP), under both motion and measurement noise, where each robot can act as a…
Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration
Shohei Wakayama, Alberto Candela, Paul Hayne +1
Autonomous selection of optimal options for data collection from multiple alternatives is challenging in uncertain environments. When secondary information about options is accessi…
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
Peter Amorese, Shohei Wakayama, Nisar Ahmed +1
When a robot autonomously performs a complex task, it frequently must balance competing objectives while maintaining safety. This becomes more difficult in uncertain environments w…
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya, Caleb Lee, Marissa D'Alonzo +3
Deep learning offers promising new ways to accurately model aleatoric uncertainty in robotic state estimation systems, particularly when the uncertainty distributions do not confor…
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
Shohei Wakayama, Nisar Ahmed
We introduce a new variant of contextual multi-armed bandits (CMABs) called observation-augmented CMABs (OA-CMABs) wherein a robot uses extra outcome observations from an external…