Greg N. Droge

According to our database, Greg N. Droge authored at least 32 papers between 2011 and 2024.

Collaborative distances:

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

2024

A Bin Packing Approach to Minimize Charging Cost for Electric Bus Fleets.

Daniel Mortensen, Jacob H. Gunther, Greg Droge

IEEE Trans. Intell. Transp. Syst., July, 2024

Scheduling Battery-Electric Bus Charging under Stochasticity using a Receding-Horizon Approach.

Justin Whitaker, Derek Redmond, Greg Droge, Jacob H. Gunther

CoRR, 2024

2023

Sensitivity of the Probability of Radar Detection to Radar State Uncertainty.

Austin Costley, Randall S. Christensen, Robert C. Leishman, Greg N. Droge

IEEE Trans. Aerosp. Electron. Syst., December, 2023

A Network Flow Approach to Battery Electric Bus Scheduling.

Justin Whitaker, Greg Droge, Matthew Hansen, Daniel Mortensen, Jacob H. Gunther

IEEE Trans. Intell. Transp. Syst., September, 2023

Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties.

Austin Costley, Randall Christensen, Robert C. Leishman, Greg N. Droge

IEEE Trans. Aerosp. Electron. Syst., June, 2023

Fillet-based RRT^*: A Rapid Convergence Implementation of RRT* for Curvature Constrained Vehicles.

James Swedeen, Greg Droge, Randall Christensen

J. Intell. Robotic Syst., 2023

Batch Informed Trees (BIT*).

James Swedeen, Greg N. Droge

CoRR, 2023

Fillet-based RRT*: A Rapid Convergence Implementation of RRT* for Curvature Constrained Vehicles.

James Swedeen, Greg N. Droge, Randall Christensen

CoRR, 2023

Fillet-Based Batch Informed Trees (FB-BIT*): Rapid Convergence Path Planning for Curvature Constrained Vehicles.

James Swedeen, Greg Droge

Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

2022

Analytical Aircraft State and IMU Signal Generator From Smoothed Reference Trajectory.

Austin Costley, Randall Christensen, Robert C. Leishman, Greg N. Droge

IEEE Trans. Aerosp. Electron. Syst., 2022

Path Planning with Uncertainty for Aircraft Under Threat of Detection from Ground-Based Radar.

Austin Costley, Greg N. Droge, Randall Christensen, Robert C. Leishman, James Swedeen

CoRR, 2022

Sensitivity of Single-Pulse Radar Detection to Radar State Uncertainty.

Austin Costley, Randall Christensen, Robert C. Leishman, Greg N. Droge

CoRR, 2022

2021

Dual-mode dynamic window approach to robot navigation with convergence guarantees.

Greg Droge

J. Control. Decis., 2021

A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in an Uncertain Obstacle Field.

Randall Christensen, Greg N. Droge, Robert C. Leishman

CoRR, 2021

Optimal Path Smoothing while Maintaining a Region of Safe Operation.

Justin Whitaker, Greg N. Droge

Proceedings of the 2021 American Control Conference, 2021

Approximate Filippov-based Switching for Behavior-based Trajectory Tracking.

Ryan Jacobson, Greg Droge

Proceedings of the 2021 American Control Conference, 2021

Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation.

Clint Ferrin, Greg N. Droge, Randall Christensen

Proceedings of the 2021 American Control Conference, 2021

2020

Global Localization of Ground Vehicles Using Self-Describing Fiducials Coupled with IMU Data.

Justin Whitaker, Randall Christensen, Greg N. Droge

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

Clothoid-based Moving Formation Control Using Virtual Structures.

Brian Merrell, Greg N. Droge

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2015

Road-following formation control of autonomous ground vehicles.

Masahiro Ono, Greg Droge, Håvard Fjær Grip, Olivier Toupet, Chris Scrapper, Amir Rahmani

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed virtual leader moving formation control using behavior-based MPC.

Greg Droge

Proceedings of the American Control Conference, 2015

2014

Behavior-based model predictive control for networked multi-agent systems.

Greg Droge

PhD thesis, 2014

Continuous-time proportional-integral distributed optimisation for networked systems.

Greg Droge, Hiroaki Kawashima, Magnus Egerstedt

J. Control. Decis., 2014

Proportional integral distributed optimization for dynamic network topologies.

Greg Droge, Magnus Egerstedt

Proceedings of the American Control Conference, 2014

2013

Less Is More: Mixed-Initiative Model-Predictive Control With Human Inputs.

Rahul Chipalkatty, Greg Droge, Magnus Egerstedt

IEEE Trans. Robotics, 2013

Proportional-Integral Distributed Optimization for Networked Systems.

Greg Droge, Hiroaki Kawashima, Magnus Egerstedt

CoRR, 2013

Balanced deployment of multiple robots using a modified kuramoto model.

Zhihao Xu, Magnus Egerstedt, Greg Droge, Klaus Schilling

Proceedings of the American Control Conference, 2013

Distributed parameterized model predictive control of networked multi-agent systems.

Greg Droge, Magnus Egerstedt

Proceedings of the American Control Conference, 2013

2012

Behavior-based switch-time MPC for mobile robots.

Greg Droge, Peter Kingston, Magnus Egerstedt

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Optimal decentralized gait transitions for snake robots.

Greg Droge, Magnus Egerstedt

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Adaptive look-ahead for robotic navigation in unknown environments.

Greg Droge, Magnus Egerstedt

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Adaptive time horizon optimization in model predictive control.

Greg Droge, Magnus Egerstedt

Proceedings of the American Control Conference, 2011