The robotics bus: a local communications bus for robots. - Daniel Gomez-Ibanez; Ethan Stump; Benjamin Grocholsky; Vijay Kumar 001; Camillo J. Taylor (Mobile Robots, 2002)

Extensive Representations and Algorithms for Nonlinear Filtering and Estimation. - Ethan Stump; Ben Grocholsky; Vijay Kumar 001 (WAFR, 2006)

Connectivity management in mobile robot teams. - Ethan Stump; Ali Jadbabaie; Vijay Kumar 001 (ICRA, 2008)

Control for Localization of Targets using Range-only Sensors. - Ethan Stump; Vijay Kumar 001; Ben Grocholsky; Pedro M. Shiroma (Int. J. Robotics Res., 2009)

Effects of increasing autonomy on tele-operation performance. - Barry J. O'Brien; Ethan Stump; Cynthia S. Pierce (IROS, 2010)

Multi-robot persistent surveillance planning as a Vehicle Routing Problem. - Ethan Stump; Nathan Michael (CASE, 2011)

Visibility-based deployment of robot formations for communication maintenance. - Ethan Stump; Nathan Michael; Vijay Kumar 001; Volkan Isler (ICRA, 2011)

Persistent surveillance with a team of MAVs. - Nathan Michael; Ethan Stump; Kartik Mohta (IROS, 2011)

Mapping with a ground robot in GPS denied and degraded environments. - John G. Rogers; Jonathan R. Fink; Ethan A. Stump (ACC, 2014)

Experimental analysis of models for trajectory generation on tracked vehicles. - Jonathan R. Fink; Ethan Stump (IROS, 2014)

Task-driven dictionary learning in distributed online settings. - Alec Koppel; Garrett Warned; Ethan Stump (ACSSC, 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 (FSR, 2015)

Reduction of catastrophic forgetting with transfer learning and ternary output codes. - Steven Gutstein; Ethan Stump (IJCNN, 2015)

Online learning for characterizing unknown environments in ground robotic vehicle models. - Alec Koppel; Jonathan Fink; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (IROS, 2016)

Decentralized Dynamic Discriminative Dictionary Learning. - Alec Koppel; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (CoRR, 2016)

The effects of output codes on transfer learning in a deep convolutional neural net. - Steven Gutstein; Ethan Stump (IJCNN, 2017)

D4L: Decentralized Dynamic Discriminative Dictionary Learning. - Alec Koppel; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. - Ekaterina I. Tolstaya; Alec Koppel; Ethan Stump; Alejandro Ribeiro (ACC, 2018)

Composable Learning with Sparse Kernel Representations. - Ekaterina I. Tolstaya; Ethan Stump; Alec Koppel; Alejandro Ribeiro (IROS, 2018)

Intelligent Autonomous Things on the Battlefield. - Alexander Kott; Ethan Stump (CoRR, 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)

Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. - Alec Koppel; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (J. Mach. Learn. Res., 2019)

Test Your SLAM! The SubT-Tunnel dataset and metric for mapping. - John G. Rogers; Jason M. Gregory; Jonathan Fink; Ethan Stump (ICRA, 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 (ISER, 2020)

Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. - Junhong Xu; Kai Yin; Zheng Chen 016; Jason M. Gregory; Ethan A. Stump; Lantao Liu (CoRR, 2021)

Improving Autonomous Robotic Navigation Using Imitation Learning. - Brian Cesar-Tondreau; Garrett Warnell; Ethan Stump; Kevin Kochersberger; Nicholas R. Waytowich (Frontiers Robotics AI, 2021)

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. - Alec Koppel; Garrett Warnell; Ethan Stump; Peter Stone 001; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2021)

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 022; Ethan Stump (AAMAS, 2022)

Hierarchical Planning for Heterogeneous Multi-Robot Routing Problems via Learned Subteam Performance. - Jacopo Banfi; Andrew Messing; Christopher M. Kroninger; Ethan Stump; Seth Hutchinson 001; Nicholas Roy (IEEE Robotics Autom. Lett., 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; et al. (Field Robotics, 2022)

Human-Scale Mobile Manipulation Using RoMan. - Chad C. Kessens; Matthew Kaplan 002; Trevor Rocks; Philip R. Osteen; John G. Rogers; Ethan Stump; Arnon Hurwitz; Jonathan Fink; Long Quang; Mark Gonzalez; Jaymit Patel; Michael Diblasi; et al. (Field Robotics, 2022)

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 001 (Robotics: Science and Systems, 2023)

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)

Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. - Junhong Xu; Kai Yin; Zheng Chen 016; Jason M. Gregory; Ethan A. Stump; Lantao Liu (Int. J. Robotics Res., 2024)