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07/20/2023
Exploiting Structure for Optimal Multi-Agent Bayesian Decentralized Estimation
A key challenge in Bayesian decentralized data fusion is the `rumor prop...
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06/07/2023
Towards Decentralized Heterogeneous Multi-Robot SLAM and Target Tracking
In many robotics problems, there is a significant gain in collaborative ...
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03/03/2023
Dynamic Competency Self-Assessment for Autonomous Agents
As autonomous robots are deployed in increasingly complex environments, ...
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02/17/2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories
Giving autonomous agents the ability to forecast their own outcomes and ...
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09/17/2022
Heterogeneous Bayesian Decentralized Data Fusion: An Empirical Study
In multi-robot applications, inference over large state spaces can often...
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06/21/2022
Uncertainty Quantification for Competency Assessment of Autonomous Agents
For safe and reliable deployment in the real world, autonomous agents mu...
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03/23/2022
Competency Assessment for Autonomous Agents using Deep Generative Models
For autonomous agents to act as trustworthy partners to human users, the...
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03/14/2022
Conservative Filtering for Heterogeneous Decentralized Data Fusion in Dynamic Robotic Systems
This paper presents a method for Bayesian multi-robot peer-to-peer data ...
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06/24/2021
Factor Graphs for Heterogeneous Bayesian Decentralized Data Fusion
This paper explores the use of factor graphs as an inference and analysi...
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01/26/2021
Exact and Approximate Heterogeneous Bayesian Decentralized Data Fusion
In Bayesian peer-to-peer decentralized data fusion for static and dynami...
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11/17/2020
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
The deployment of reinforcement learning (RL) in the real world comes wi...
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04/02/2020
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
We investigate how different active learning (AL) query policies coupled...
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07/09/2019
Decentralized Gaussian Mixture Fusion through Unified Quotient Approximations
This work examines the problem of using finite Gaussian mixtures (GM) pr...
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10/15/2018
Factorized Machine Self-Confidence for Decision-Making Agents
Algorithmic assurances from advanced autonomous systems assist human use...
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10/15/2018
Machine Self-Confidence in Autonomous Systems via Meta-Analysis of Decision Processes
Algorithmic assurances from advanced autonomous systems assist human use...
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11/08/2017
