A key challenge in Bayesian decentralized data fusion is the `rumor
prop...
In many robotics problems, there is a significant gain in collaborative
...
As autonomous robots are deployed in increasingly complex environments,
...
Giving autonomous agents the ability to forecast their own outcomes and
...
In multi-robot applications, inference over large state spaces can often...
For safe and reliable deployment in the real world, autonomous agents mu...
For autonomous agents to act as trustworthy partners to human users, the...
This paper presents a method for Bayesian multi-robot peer-to-peer data
...
This paper explores the use of factor graphs as an inference and analysi...
In Bayesian peer-to-peer decentralized data fusion for static and dynami...
The deployment of reinforcement learning (RL) in the real world comes wi...
We investigate how different active learning (AL) query policies coupled...
This work examines the problem of using finite Gaussian mixtures (GM)
pr...
Algorithmic assurances from advanced autonomous systems assist human use...
Algorithmic assurances from advanced autonomous systems assist human use...
As technology becomes more advanced, those who design, use and are other...