Ethan Stump

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 28

Top Topics

Markov Decision Problems

Prolate Spheroidal

Dictionary Learning

Top Venues

Publications

Martina Stadler, Samuel Prentice, Yasmin Veys, Long Quang, Carlos Nieto-Granda, Michael Novitzky, Ethan Stump, Nicholas Roy
Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System. CoRR (2024)
Andrew Messing, Jacopo Banfi, Martina Stadler, Ethan Stump, Harish Ravichandar, Nicholas Roy, Seth Hutchinson
A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty. Robotics: Science and Systems (2023)
Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. AAMAS (2022)
Jacopo Banfi, Andrew Messing, Christopher Kroninger, Ethan Stump, Seth Hutchinson, Nicholas Roy
Hierarchical Planning for Heterogeneous Multi-Robot Routing Problems via Learned Subteam Performance. IEEE Robotics Autom. Lett. 7 (2) (2022)
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
An Intelligence Architecture for Grounded Language Communication with Field Robots. Field Robotics 2 (1) (2022)
Chad 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
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2 (1) (2022)
Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro
Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. IEEE Trans. Autom. Control. 66 (4) (2021)
Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
Improving Autonomous Robotic Navigation Using Imitation Learning. Frontiers Robotics AI 8 (2021)
Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. CoRR (2021)
Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
Composable Learning with Sparse Kernel Representations. CoRR (2021)
John G. Rogers, Jason M. Gregory, Jonathan Fink, Ethan Stump
Test Your SLAM! The SubT-Tunnel dataset and metric for mapping. ICRA (2020)
John G. Rogers, Arthur Schang, Carlos Nieto-Granda, John Ware, John Carter, Jonathan Fink, Ethan Stump
The DARPA SubT Urban Circuit Mapping Dataset and Evaluation Metric. ISER (2020)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. J. Mach. Learn. Res. 20 (2019)
Alexander Kott, Ethan Stump
Intelligent Autonomous Things on the Battlefield. CoRR (2019)
Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR (2019)
Alec Koppel, Ekaterina I. Tolstaya, Ethan Stump, Alejandro Ribeiro
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. CoRR (2018)
Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. ACC (2018)
Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
Composable Learning with Sparse Kernel Representations. IROS (2018)
Steven Gutstein, Ethan Stump
The effects of output codes on transfer learning in a deep convolutional neural net. IJCNN (2017)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
D4L: Decentralized Dynamic Discriminative Dictionary Learning. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Parsimonious Online Learning with Kernels via sparse projections in function space. ICASSP (2017)
Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Online learning for characterizing unknown environments in ground robotic vehicle models. IROS (2016)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. CoRR (2016)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Decentralized Dynamic Discriminative Dictionary Learning. CoRR (2016)
Steven Gutstein, Ethan Stump
Reduction of catastrophic forgetting with transfer learning and ternary output codes. IJCNN (2015)
Jason Gregory, Jonathan R. Fink, Ethan Stump, Jeffrey N. Twigg, John G. Rogers, David Baran, Nicholas Fung, Stuart Young
Application of Multi-Robot Systems to Disaster-Relief Scenarios with Limited Communication. FSR (2015)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
D4L: Decentralized dynamic discriminative dictionary learning. IROS (2015)
Alec Koppel, Garrett Warned, Ethan Stump
Task-driven dictionary learning in distributed online settings. ACSSC (2015)
Jonathan R. Fink, Ethan Stump
Experimental analysis of models for trajectory generation on tracked vehicles. IROS (2014)
Nathan Michael, Ethan Stump, Kartik Mohta
Persistent surveillance with a team of MAVs. IROS (2011)
Ethan Stump, Nathan Michael
Multi-robot persistent surveillance planning as a Vehicle Routing Problem. CASE (2011)
Ethan Stump, Nathan Michael, Vijay Kumar, Volkan Isler
Visibility-based deployment of robot formations for communication maintenance. ICRA (2011)
Barry J. O'Brien, Ethan Stump, Cynthia S. Pierce
Effects of increasing autonomy on tele-operation performance. IROS (2010)
Ethan Stump, Vijay Kumar, Ben Grocholsky, Pedro M. Shiroma
Control for Localization of Targets using Range-only Sensors. Int. J. Robotics Res. 28 (6) (2009)
Ethan Stump, Ali Jadbabaie, Vijay Kumar
Connectivity management in mobile robot teams. ICRA (2008)
Ethan Stump, Ben Grocholsky, Vijay Kumar
Extensive Representations and Algorithms for Nonlinear Filtering and Estimation. WAFR (2006)
Ben Grocholsky, Ethan Stump, Pedro M. Shiroma, Vijay Kumar
Control for Localization of Targets Using Range-Only Sensors. ISER (2006)
Daniel Gomez-Ibanez, Ethan Stump, Benjamin Grocholsky, Vijay Kumar, Camillo J. Taylor
The robotics bus: a local communications bus for robots. Mobile Robots (2002)