Kyle Volle

According to our database, Kyle Volle authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Hough transform approach to safety-aware scalar field mapping using Gaussian Processes.

Muzaffar Qureshi, Trivikram Satharasi, Tochukwu Elijah Ogri, Kyle Volle, Rushikesh Kamalapurkar

CoRR, April, 2026

Decentralized Scalar Field Mapping using Gaussian Process.

Hossein Papi, Muzaffar Qureshi, Kyle Volle, Rushikesh Kamalapurkar

CoRR, April, 2026

Adaptive Control with Sparse Identification of Nonlinear Dynamics.

Trivikram Satharasi, Tochukwu Elijah Ogri, Muzaffar Qureshi, Kyle Volle, Rushikesh Kamalapurkar

CoRR, April, 2026

Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical Solutions.

Goutam Das, Michael R. Dorothy, Kyle Volle, Daigo Shishika

CoRR, March, 2026

A Taylor Series Approach to Correct Localization Errors in Robotic Field Mapping using Gaussian Processes.

Muzaffar Qureshi, Tochukwu Elijah Ogri, Kyle Volle, Rushikesh Kamalapurkar

CoRR, January, 2026

2025

Transformer-based Motion Model for Robust Target Tracking under Intermittent and Noisy Measurements.

Andres Pulido, Kyle Volle, Zachary I. Bell, Jane Jaejeong Shin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning.

Andres Pulido, Kyle Volle, Kristy Waters, Zachary I. Bell, Prashant Ganesh, Jane Shin

Proceedings of the 2025 American Control Conference, 2025

2023

DOMINO: Domain-aware loss for deep learning calibration.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang

Softw. Impacts, March, 2023

Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks.

Zachary I. Bell, Runhan Sun, Kyle Volle, Prashant Ganesh, Scott A. Nivison, Warren E. Dixon

IEEE Control. Syst. Lett., 2023

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Information-Aware Guidance for Magnetic Anomaly based Navigation.

J. Humberto Ramos, Jaejeong Shin, Kyle Volle, Paul Buzaud, Kevin M. Brink, Prashant Ganesh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM.

Jincheng Zhang, Prashant Ganesh, Kyle Volle, Andrew R. Willis, Kevin M. Brink

Sensors, 2021

Volumetric procedural models for shape representation.

Andrew R. Willis, Prashant Ganesh, Kyle Volle, Jincheng Zhang, Kevin M. Brink

Graph. Vis. Comput., 2021

2020

Three Flavors of RGB-D Visual Odometry: Analysis of cost function compromises and covariance estimation accuracy.

Prashant Ganesh, Kyle Volle, Andrew R. Willis, Kevin M. Brink

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

2019

Cooperative Control Methods for the Weapon Target Assignment Problem.

Kyle Volle

PhD thesis, 2019