2 citations · 2 across the 6 of their papers we have counts for
7 papers
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning
Andres Pulido, Kyle Volle, Kristy Waters +3
This paper presents a novel guidance law for target tracking applications where the target motion model is unknown and sensor measurements are intermittent due to unknown environme…
Deep Nonlinear Adaptive Control for Unmanned Aerial Systems Operating under Dynamic Uncertainties
Zachary Lamb, Zachary I. Bell, Matthew Longmire +3
Recent literature in the field of machine learning (ML) control has shown promising theoretical results for a Deep Neural Network (DNN) based Nonlinear Adaptive Controller (DNAC) c…
Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions
Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks +4
This paper describes a methodology for learning flight control systems from human demonstrations and interventions while considering the estimated uncertainty in the learned models…
Incremental cycle bases for cycle-based pose graph optimization
Brendon Forsgren, Kevin Brink, Prashant Ganesh +1
Pose graph optimization is a special case of the simultaneous localization and mapping problem where the only variables to be estimated are pose variables and the only measurements…
Information-Aware Guidance for Magnetic Anomaly based Navigation
J. Humberto Ramos, Jaejeong Shin, Kyle Volle +3
In the absence of an absolute positioning system, such as GPS, autonomous vehicles are subject to accumulation of positional error which can interfere with reliable performance. Im…
A summary on the UD Kalman Filter
J. Humberto Ramos, Kevin Brink, Prashant Ganesh +1
This document contains a concise and unified reference for one of the existing mechanizations of the UD Kalman filter. The associated matrix algorithms are also included along with…
Volumetric Procedural Models for Shape Representation
Andrew Willis, Prashant Ganesh, Kyle Volle +2
This article describes a volumetric approach for procedural shape modeling and a new Procedural Shape Modeling Language (PSML) that facilitates the specification of these models. P…