CMOS Baseline Tracking and Cancellation Instrumentation for Nanoparticle-Coated Chemiresistors. - Daniel Rairigh; Garrett A. Warnell; Chao Xu; Edward T. Zellers; Andrew J. Mason (IEEE Trans. Biomed. Circuits Syst., 2009)

Adaptive rate compressive sensing for background subtraction. - Garrett A. Warnell; Dikpal Reddy; Rama Chellappa (ICASSP, 2012)

Vision-guided feedback control of a mobile robot with compressive measurements and side information. - Sourabh Bhattacharya; Garrett A. Warnell; Rama Chellappa; Tamer Basar (ACC, 2014)

Adaptive Sensing and Processing for Some Computer Vision Problems. - Garrett Warnell (2014)

Integrability-regularized phase unwrapping via sparse error correction. - Garrett A. Warnell; Vishal M. Patel; Rama Chellappa (ICIP, 2015)

Adaptive-Rate Compressive Sensing Using Side Information. - Garrett A. Warnell; Sourabh Bhattacharya; Rama Chellappa; Tamer Basar (IEEE Trans. Image Process., 2015)

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

Semantics for UGV Registration in GPS-denied Environments. - Gordon A. Christie; Garrett Warnell; Kevin Kochersberger (CoRR, 2016)

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

Ray Saliency: Bottom-Up Visual Saliency for a Rotating and Zooming Camera. - Garrett A. Warnell; Philip David; Rama Chellappa (Int. J. Comput. Vis., 2016)

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

DIPD: Gaze-Based Intention Inference in Dynamic Environments. - Yu-Sian Jiang; Garrett Warnell; Peter Stone 001 (AAAI Workshops, 2018)

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. - Garrett Warnell; Nicholas R. Waytowich; Vernon Lawhern; Peter Stone 001 (AAAI, 2018)

Inferring User Intention using Gaze in Vehicles. - Yu-Sian Jiang; Garrett Warnell; Peter Stone 001 (ICMI, 2018)

Behavioral Cloning from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IJCAI, 2018)

A Study of Human-Robot Copilot Systems for En-route Destination Changing. - Yu-Sian Jiang; Garrett Warnell; Eduardo Munera; Peter Stone 001 (RO-MAN, 2018)

Generative Adversarial Imitation from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (CoRR, 2018)

Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. - Prabhat Nagarajan; Garrett Warnell; Peter Stone 001 (CoRR, 2018)

Adversarial Imitation Learning from State-only Demonstrations. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (AAMAS, 2019)

Imitation Learning from Video by Leveraging Proprioception. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IJCAI, 2019)

Recent Advances in Imitation Learning from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IJCAI, 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)

Sample-efficient Adversarial Imitation Learning from Observation. - Faraz Torabi; Sean Geiger; Garrett Warnell; Peter Stone 001 (CoRR, 2019)

A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. - Nicholas R. Waytowich; Sean L. Barton; Vernon Lawhern; 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)

Human Gaze-Driven Spatial Tasking of an Autonomous MAV. - Liangzhe Yuan; Christopher M. Reardon; Garrett Warnell; Giuseppe Loianno (IEEE Robotics Autom. Lett., 2019)

Learning to Improve Multi-Robot Hallway Navigation. - Jin Soo Park; Brian Tsang; Harel Yedidsion; Garrett Warnell; Daehyun Kyoung; Peter Stone 001 (CoRL, 2020)

Stochastic Grounded Action Transformation for Robot Learning in Simulation. - Siddharth Desai; Haresh Karnan; Josiah P. Hanna; Garrett Warnell; Peter Stone 001 (IROS, 2020)

Reinforced Grounded Action Transformation for Sim-to-Real Transfer. - Haresh Karnan; Siddharth Desai; Josiah P. Hanna; Garrett Warnell; Peter Stone 001 (IROS, 2020)

An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. - Siddharth Desai; Ishan Durugkar; Haresh Karnan; Garrett Warnell; Josiah Hanna; Peter Stone 001 (NeurIPS, 2020)

Agents teaching agents: a survey on inter-agent transfer learning. - Felipe Leno da Silva; Garrett Warnell; Anna Helena Reali Costa; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2020)

An Imitation from Observation Approach to Sim-to-Real Transfer. - Siddharth Desai; Ishan Durugkar; Haresh Karnan; Garrett Warnell; Josiah Hanna; Peter Stone 001 (CoRR, 2020)

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (CoRR, 2020)

RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. - Brahma S. Pavse; Faraz Torabi; Josiah Hanna; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 2020)

APPLD: Adaptive Planner Parameter Learning From Demonstration. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Jonathan Fink; Peter Stone 001 (IEEE Robotics Autom. Lett., 2020)

Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. - Yu-Sian Jiang; Garrett Warnell; Peter Stone 001 (AAAI, 2021)

APPLI: Adaptive Planner Parameter Learning From Interventions. - Zizhao Wang; Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (ICRA, 2021)

APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Zifan Xu; Gauraang Dhamankar; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Bo Liu 042; Zizhao Wang; Peter Stone 001 (ICRA, 2021)

DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. - Faraz Torabi; Garrett Warnell; Peter Stone 001 (IROS, 2021)

Improving Trajectory Tracking Accuracy for Faster and Safer Autonomous Navigation of Ground Vehicles in Off-Road Settings. - Jason M. Gregory; Garrett Warnell; Jonathan Fink; Satyandra K. Gupta (SSRR, 2021)

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning. - Zifan Xu; Xuesu Xiao; Garrett Warnell; Anirudh Nair; Peter Stone 001 (SSRR, 2021)

Recent advances in leveraging human guidance for sequential decision-making tasks. - Ruohan Zhang; Faraz Torabi; Garrett Warnell; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2021)

RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning. - Eddy Hudson; Garrett Warnell; Peter Stone 001 (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)

Grounded action transformation for sim-to-real reinforcement learning. - Josiah P. Hanna; Siddharth Desai; Haresh Karnan; Garrett Warnell; Peter Stone 001 (Mach. Learn., 2021)

Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 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)

APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. - Zizhao Wang; Xuesu Xiao; Garrett Warnell; Peter Stone 001 (IEEE Robotics Autom. Lett., 2021)

Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. - Eddy Hudson; Garrett Warnell; Faraz Torabi; Peter Stone 001 (ICRA, 2022)

Adversarial Imitation Learning from Video Using a State Observer. - Haresh Karnan; Faraz Torabi; Garrett Warnell; Peter Stone 001 (ICRA, 2022)

VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. - Haresh Karnan; Garrett Warnell; Xuesu Xiao; Peter Stone 001 (ICRA, 2022)

Visual Representation Learning for Preference-Aware Path Planning. - Kavan Singh Sikand; Sadegh Rabiee; Adam Uccello; Xuesu Xiao; Garrett Warnell; Joydeep Biswas (ICRA, 2022)

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. - Haresh Karnan; Kavan Singh Sikand; Pranav Atreya; Sadegh Rabiee; Xuesu Xiao; Garrett Warnell; Peter Stone 001; Joydeep Biswas (IROS, 2022)

Motion planning and control for mobile robot navigation using machine learning: a survey. - Xuesu Xiao; Bo Liu 042; Garrett Warnell; Peter Stone 001 (Auton. Robots, 2022)

High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization. - Pranav Atreya; Haresh Karnan; Kavan Singh Sikand; Xuesu Xiao; Garrett Warnell; Sadegh Rabiee; Peter Stone 001; Joydeep Biswas (CoRR, 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (CoRR, 2022)

ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. - Eddy Hudson; Ishan Durugkar; Garrett Warnell; Peter Stone 001 (CoRR, 2022)

Lucid dreaming for experience replay: refreshing past states with the current policy. - Yunshu Du; Garrett Warnell; Assefaw H. Gebremedhin; Peter Stone 001; Matthew E. Taylor (Neural Comput. Appl., 2022)

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. - Haresh Karnan; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Sören Pirk; Alexander Toshev; Justin W. Hart; Joydeep Biswas; Peter Stone 001 (IEEE Robotics Autom. Lett., 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (IEEE Robotics Autom. Mag., 2022)

APPL: Adaptive Planner Parameter Learning. - Xuesu Xiao; Zizhao Wang; Zifan Xu; Bo Liu 042; Garrett Warnell; Gauraang Dhamankar; Anirudh Nair; Peter Stone 001 (Robotics Auton. Syst., 2022)

Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control. - Brian Cesar-Tondreau; Garrett Warnell; Kevin Kochersberger; Nicholas R. Waytowich (Robotics, 2022)

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. - Caroline Wang; Garrett Warnell; Peter Stone 001 (AAMAS, 2023)

STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. - Haresh Karnan; Elvin Yang; Daniel Farkash; Garrett Warnell; Joydeep Biswas; Peter Stone 001 (CoRL, 2023)

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. - Jin Soo Park; Xuesu Xiao; Garrett Warnell; Harel Yedidsion; Peter Stone 001 (ICRA, 2023)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023. - Xuesu Xiao; Zifan Xu; Garrett Warnell; Peter Stone 001; Ferran Gebelli Guinjoan; Rômulo T. Rodrigues; Herman Bruyninckx; Hanjaya Mandala; Guilherme Christmann; José Luis Blanco-Claraco; Shravan Somashekara Rai (CoRR, 2023)

Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. - Haresh Karnan; Elvin Yang; Daniel Farkash; Garrett Warnell; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]. - Xuesu Xiao; Zifan Xu; Garrett Warnell; Peter Stone 001; Ferran Gebelli Guinjoan; Rômulo T. Rodrigues; Herman Bruyninckx; Hanjaya Mandala; Guilherme Christmann; José Luis Blanco-Claraco; Shravan Somashekara Rai (IEEE Robotics Autom. Mag., 2023)

Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning. - Haresh Karnan; Elvin Yang; Garrett Warnell; Joydeep Biswas; Peter Stone 001 (ICRA, 2024)

Multi-Agent Synchronization Tasks. - Rolando Fernandez; Garrett Warnell; Derrik E. Asher; Peter Stone 001 (CoRR, 2024)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. - Xuesu Xiao; Zifan Xu; Aniket Datar; Garrett Warnell; Peter Stone 001; Joshua Julian Damanik; Jaewon Jung; Chala Adane Deresa; Than Duc Huy; Chen Jinyu; Chen Yichen; Joshua Adrian Cahyono; et al. (CoRR, 2024)

VertiEncoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain. - Mohammad Nazeri; Aniket Datar; Anuj Pokhrel; Chenhui Pan; Garrett Warnell; Xuesu Xiao (CoRR, 2024)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]. - Xuesu Xiao; Zifan Xu; Aniket Datar; Garrett Warnell; Peter Stone 001; Joshua Julian Damanik; Jaewon Jung; Chala Adane Deresa; Than Duc Huy; Chen Jinyu; Chen Yichen; Joshua Adrian Cahyono; et al. (IEEE Robotics Autom. Mag., 2024)

VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility. - Mohammad Nazeri; Anuj Pokhrel; Alexandyr Card; Aniket Datar; Garrett Warnell; Xuesu Xiao (CoRR, 2025)

pacer: Preference-Conditioned All-Terrain Costmap Generation. - Luisa Mao; Garrett Warnell; Peter Stone 001; Joydeep Biswas (IEEE Robotics Autom. Lett., 2025)