Ethan Stump

According to our database, Ethan Stump authored at least 34 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains.

Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu

Int. J. Robotics Res., 2024

Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System.

Martina Stadler, Samuel Prentice, Yasmin Veys, Long Quang, Carlos Nieto-Granda, Michael Novitzky, Ethan Stump, Nicholas Roy

CoRR, 2024

2023

A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty.

Andrew Messing, Jacopo Banfi, Martina Stadler, Ethan Stump, Harish Ravichandar, Nicholas Roy, Seth Hutchinson

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Human-Scale Mobile Manipulation Using RoMan.

Chad C. Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa

Field Robotics, March, 2022

An Intelligence Architecture for Grounded Language Communication with Field Robots.

Thomas M. Howard, Ethan Stump, Jonathan Fink, Jacob Arkin, Rohan Paul, Daehyung Park, Subhro Roy, Daniel Barber, Rhyse Bendell, Karl Schmeckpeper, Junjiao Tian, Jean Oh, Maggie B. Wigness, Long Quang, Brandon Rothrock, Jeremy Nash, Matthew R. Walter, Florian Jentsch, Nicholas Roy

Field Robotics, March, 2022

Hierarchical Planning for Heterogeneous Multi-Robot Routing Problems via Learned Subteam Performance.

Jacopo Banfi, Andrew Messing, Christopher M. Kroninger, Ethan Stump, Seth Hutchinson, Nicholas Roy

IEEE Robotics Autom. Lett., 2022

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts.

Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference.

Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro

IEEE Trans. Autom. Control., 2021

Improving Autonomous Robotic Navigation Using Imitation Learning.

Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich

Frontiers Robotics AI, 2021

Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control.

Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu

CoRR, 2021

2020

The DARPA SubT Urban Circuit Mapping Dataset and Evaluation Metric.

John G. Rogers, Arthur Schang, Carlos Nieto-Granda, John Ware, John Carter, Jonathan Fink, Ethan Stump

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Test Your SLAM! The SubT-Tunnel dataset and metric for mapping.

John G. Rogers, Jason M. Gregory, Jonathan Fink, Ethan Stump

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Parsimonious Online Learning with Kernels via Sparse Projections in Function Space.

Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro

J. Mach. Learn. Res., 2019

Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning.

Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell

CoRR, 2019

Intelligent Autonomous Things on the Battlefield.

Alexander Kott, Ethan Stump

CoRR, 2019

2018

Composable Learning with Sparse Kernel Representations.

Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems.

Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro

Proceedings of the 2018 Annual American Control Conference, 2018

2017

D4L: Decentralized Dynamic Discriminative Dictionary Learning.

Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro

IEEE Trans. Signal Inf. Process. over Networks, 2017

The effects of output codes on transfer learning in a deep convolutional neural net.

Steven Gutstein, Ethan Stump

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Decentralized Dynamic Discriminative Dictionary Learning.

Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro

CoRR, 2016

Online learning for characterizing unknown environments in ground robotic vehicle models.

Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Reduction of catastrophic forgetting with transfer learning and ternary output codes.

Steven Gutstein, Ethan Stump

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Application of Multi-Robot Systems to Disaster-Relief Scenarios with Limited Communication.

Jason Gregory, Jonathan R. Fink, Ethan Stump, Jeffrey N. Twigg, John G. Rogers, David Baran, Nicholas Fung, Stuart Young

Proceedings of the Field and Service Robotics, 2015

Task-driven dictionary learning in distributed online settings.

Alec Koppel, Garrett Warned, Ethan Stump

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Experimental analysis of models for trajectory generation on tracked vehicles.

Jonathan R. Fink, Ethan Stump

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Mapping with a ground robot in GPS denied and degraded environments.

John G. Rogers, Jonathan R. Fink, Ethan A. Stump

Proceedings of the American Control Conference, 2014

2011

Persistent surveillance with a team of MAVs.

Nathan Michael, Ethan Stump, Kartik Mohta

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

Visibility-based deployment of robot formations for communication maintenance.

Ethan Stump, Nathan Michael, Vijay Kumar, Volkan Isler

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Multi-robot persistent surveillance planning as a Vehicle Routing Problem.

Ethan Stump, Nathan Michael

Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

2010

Effects of increasing autonomy on tele-operation performance.

Barry J. O'Brien, Ethan Stump, Cynthia S. Pierce

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Control for Localization of Targets using Range-only Sensors.

Ethan Stump, Vijay Kumar, Ben Grocholsky, Pedro M. Shiroma

Int. J. Robotics Res., 2009

2008

Connectivity management in mobile robot teams.

Ethan Stump, Ali Jadbabaie, Vijay Kumar

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006

Extensive Representations and Algorithms for Nonlinear Filtering and Estimation.

Ethan Stump, Ben Grocholsky, Vijay Kumar

Proceedings of the Algorithmic Foundation of Robotics VII, 2006

2002

The robotics bus: a local communications bus for robots.

Daniel Gomez-Ibanez, Ethan Stump, Benjamin Grocholsky, Vijay Kumar, Camillo J. Taylor

Proceedings of the Mobile Robots XVII, Philadelphia, PA, USA, October 25, 2004, 2002