Garrett Warnell

Orcid: 0000-0003-3846-8787

Affiliations:
  • U.S. Army Research Laboratory, Adelphi, MD, USA


According to our database1, Garrett Warnell authored at least 73 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions].
IEEE Robotics Autom. Mag., September, 2024

VertiEncoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain.
CoRR, 2024

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024.
CoRR, 2024

Multi-Agent Synchronization Tasks.
CoRR, 2024

Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions].
IEEE Robotics Autom. Mag., December, 2023

Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience.
CoRR, 2023

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023.
CoRR, 2023

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience.
Proceedings of the Conference on Robot Learning, 2023

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control.
Robotics, 2022

APPL: Adaptive Planner Parameter Learning.
Robotics Auton. Syst., 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions].
IEEE Robotics Autom. Mag., 2022

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation.
IEEE Robotics Autom. Lett., 2022

Lucid dreaming for experience replay: refreshing past states with the current policy.
Neural Comput. Appl., 2022

ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning.
CoRR, 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022.
CoRR, 2022

High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization.
CoRR, 2022

Motion planning and control for mobile robot navigation using machine learning: a survey.
Auton. Robots, 2022

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Visual Representation Learning for Preference-Aware Path Planning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Adversarial Imitation Learning from Video Using a State Observer.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback.
IEEE Robotics Autom. Lett., October, 2021

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference.
IEEE Trans. Autom. Control., 2021

Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination.
IEEE Robotics Autom. Lett., 2021

Grounded action transformation for sim-to-real reinforcement learning.
Mach. Learn., 2021

Improving Autonomous Robotic Navigation Using Imitation Learning.
Frontiers Robotics AI, 2021

RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning.
CoRR, 2021

Recent advances in leveraging human guidance for sequential decision-making tasks.
Auton. Agents Multi Agent Syst., 2021

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

Improving Trajectory Tracking Accuracy for Faster and Safer Autonomous Navigation of Ground Vehicles in Off-Road Settings.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

APPLR: Adaptive Planner Parameter Learning from Reinforcement.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

APPLI: Adaptive Planner Parameter Learning From Interventions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
APPLD: Adaptive Planner Parameter Learning From Demonstration.
IEEE Robotics Autom. Lett., 2020

RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration.
IEEE Robotics Autom. Lett., 2020

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey.
CoRR, 2020

An Imitation from Observation Approach to Sim-to-Real Transfer.
CoRR, 2020

Agents teaching agents: a survey on inter-agent transfer learning.
Auton. Agents Multi Agent Syst., 2020

An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforced Grounded Action Transformation for Sim-to-Real Transfer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Stochastic Grounded Action Transformation for Robot Learning in Simulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Improve Multi-Robot Hallway Navigation.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Human Gaze-Driven Spatial Tasking of an Autonomous MAV.
IEEE Robotics Autom. Lett., 2019

Parsimonious Online Learning with Kernels via Sparse Projections in Function Space.
J. Mach. Learn. Res., 2019

A Narration-based Reward Shaping Approach using Grounded Natural Language Commands.
CoRR, 2019

Sample-efficient Adversarial Imitation Learning from Observation.
CoRR, 2019

Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning.
CoRR, 2019

Recent Advances in Imitation Learning from Observation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Imitation Learning from Video by Leveraging Proprioception.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Imitation Learning from State-only Demonstrations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning.
CoRR, 2018

Generative Adversarial Imitation from Observation.
CoRR, 2018

A Study of Human-Robot Copilot Systems for En-route Destination Changing.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

Behavioral Cloning from Observation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Inferring User Intention using Gaze in Vehicles.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

DIPD: Gaze-Based Intention Inference in Dynamic Environments.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
D4L: Decentralized Dynamic Discriminative Dictionary Learning.
IEEE Trans. Signal Inf. Process. over Networks, 2017

2016
Ray Saliency: Bottom-Up Visual Saliency for a Rotating and Zooming Camera.
Int. J. Comput. Vis., 2016

Decentralized Dynamic Discriminative Dictionary Learning.
CoRR, 2016

Semantics for UGV Registration in GPS-denied Environments.
CoRR, 2016

Online learning for characterizing unknown environments in ground robotic vehicle models.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Adaptive-Rate Compressive Sensing Using Side Information.
IEEE Trans. Image Process., 2015

Integrability-regularized phase unwrapping via sparse error correction.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Adaptive Sensing and Processing for Some Computer Vision Problems.
PhD thesis, 2014

Vision-guided feedback control of a mobile robot with compressive measurements and side information.
Proceedings of the American Control Conference, 2014

2012
Adaptive rate compressive sensing for background subtraction.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2009
CMOS Baseline Tracking and Cancellation Instrumentation for Nanoparticle-Coated Chemiresistors.
IEEE Trans. Biomed. Circuits Syst., 2009


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