1 citations · 1 across the 5 of their papers we have counts for
5 papers
B-ActiveSEAL: Scalable Uncertainty-Aware Active Exploration with Tightly Coupled Localization-Mapping
Min-Won Seo, Aamodh Suresh, Carlos Nieto-Granda +1
Active robot exploration requires decision-making processes that integrate localization and mapping under tightly coupled uncertainty. However, managing these interdependent uncert…
Sequential Gaussian Variational Inference for Nonlinear State Estimation and Its Application in Robot Navigation
Min-Won Seo, Solmaz S. Kia
Probabilistic state estimation is essential for robots navigating uncertain environments. Accurately and efficiently managing uncertainty in estimated states is key to robust robot…
A Computationally Efficient Maximum A Posteriori Sequence Estimation via Stein Variational Inference
Min-Won Seo, Solmaz S. Kia
State estimation in robotic systems presents significant challenges, particularly due to the prevalence of multimodal posterior distributions in real-world scenarios. One effective…
Bayesian Online Learning for Human-assisted Target Localization
Min-Won Seo, Solmaz S. Kia
We consider a human-assisted autonomy sensor fusion for dynamic target localization in a Bayesian framework. Autonomous sensor-based tracking systems can suffer from observability…
Online Target Localization using Adaptive Belief Propagation in the HMM Framework
Min-Won Seo, Solmaz S. Kia
This paper proposes a novel adaptive sample space-based Viterbi algorithm for target localization in an online manner. The method relies on discretizing the target's motion space i…