Garrett Warnell

105 papers A* 15A 9B 2Misc 3Journal 71Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OVerSeeC: Open-Vocabulary Costmap Generation from Satellite Images and Natural Language. CoRR Rwik Rana, Jesse Quattrociocchi, Dongmyeong Lee, Christian Ellis, Amanda Adkins, Adam Uccello, Garrett Warnell, Joydeep Biswas
2025	—	`conf`	A Learning-based Approach to Motion Planning with State Lattices in Off-Road Environments. CASE Joshua D. Rosser, Garrett Warnell, Eli Lancaster, Felix A. Sanchez, Ethan Fahnestock, Eric R. Damm, Jason Gregory, Thomas M. Howard
2025	J	`jnl`	BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization. CoRR Dongmyeong Lee, Jesse Quattrociocchi, Christian Ellis, Rwik Rana, Amanda Adkins, Adam Uccello, Garrett Warnell, Joydeep Biswas
2025	J	`jnl`	ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion. CoRR Zichao Hu, Chen Tang, Michael J. Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas
2025	J	`jnl`	SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation. CoRR Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone
2025	A*	`conf`	VertiCoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain. ICRA Mohammad Nazeri, Aniket Datar, Anuj Pokhrel, Chenhui Pan, Garrett Warnell, Xuesu Xiao
2025	J	`jnl`	VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility. CoRR Mohammad Nazeri, Anuj Pokhrel, Alexandyr Card, Aniket Datar, Garrett Warnell, Xuesu Xiao
2025	J	`jnl`	pacer: Preference-Conditioned All-Terrain Costmap Generation. IEEE Robotics Autom. Lett. Luisa Mao, Garrett Warnell, Peter Stone, Joydeep Biswas
2024	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]. IEEE Robotics Autom. Mag. Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng
2024	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. CoRR Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng
2024	J	`jnl`	Multi-Agent Synchronization Tasks. CoRR Rolando Fernandez, Garrett Warnell, Derrik E. Asher, Peter Stone
2024	J	`jnl`	PACER: Preference-conditioned All-terrain Costmap Generation. CoRR Luisa Mao, Garrett Warnell, Peter Stone, Joydeep Biswas
2024	J	`jnl`	VertiEncoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain. CoRR Mohammad Nazeri, Aniket Datar, Anuj Pokhrel, Chenhui Pan, Garrett Warnell, Xuesu Xiao
2024	A*	`conf`	Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning. ICRA Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
2023	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]. IEEE Robotics Autom. Mag. Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai
2023	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023. CoRR Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai
2023	A	`conf`	D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. AAMAS Caroline Wang, Garrett Warnell, Peter Stone
2023	A*	`conf`	Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. ICRA Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
2023	Misc	`conf`	STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. CoRL Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
2023	J	`jnl`	Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. CoRR Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
2023	J	`jnl`	Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning. CoRR Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
2022	J	`jnl`	ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. CoRR Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone
2022	J	`jnl`	APPL: Adaptive Planner Parameter Learning. Robotics Auton. Syst. Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2022	A*	`conf`	Adversarial Imitation Learning from Video Using a State Observer. ICRA Haresh Karnan, Faraz Torabi, Garrett Warnell, Peter Stone
2022	J	`jnl`	Adversarial Imitation Learning from Video using a State Observer. CoRR Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone
2022	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics Autom. Mag. Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
2022	J	`jnl`	Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. CoRR Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
2022	J	`jnl`	D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning. CoRR Caroline Wang, Garrett Warnell, Peter Stone
2022	J	`jnl`	High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization. CoRR Pranav Atreya, Haresh Karnan, Kavan Singh Sikand, Xuesu Xiao, Garrett Warnell, Sadegh Rabiee, Peter Stone, Joydeep Biswas
2022	J	`jnl`	Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. CoRR Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
2022	J	`jnl`	Lucid dreaming for experience replay: refreshing past states with the current policy. Neural Comput. Appl. Yunshu Du, Garrett Warnell, Assefaw H. Gebremedhin, Peter Stone, Matthew E. Taylor
2022	J	`jnl`	Motion planning and control for mobile robot navigation using machine learning: a survey. Auton. Robots Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2022	A*	`conf`	Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. ICRA Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
2022	J	`jnl`	Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. IEEE Robotics Autom. Lett. Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
2022	J	`jnl`	Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. CoRR Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
2022	J	`jnl`	Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control. Robotics Brian Cesar-Tondreau, Garrett Warnell, Kevin Kochersberger, Nicholas R. Waytowich
2022	A	`conf`	VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. IROS Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas
2022	J	`jnl`	VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. CoRR Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas
2022	A*	`conf`	VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. ICRA Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
2022	A*	`conf`	Visual Representation Learning for Preference-Aware Path Planning. ICRA Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas
2021	J	`jnl`	APPL: Adaptive Planner Parameter Learning. CoRR Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2021	J	`jnl`	APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. IEEE Robotics Autom. Lett. Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
2021	J	`jnl`	APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback. CoRR Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
2021	A*	`conf`	APPLI: Adaptive Planner Parameter Learning From Interventions. ICRA Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021	A*	`conf`	APPLR: Adaptive Planner Parameter Learning from Reinforcement. ICRA Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2021	A	`conf`	DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. IROS Faraz Torabi, Garrett Warnell, Peter Stone
2021	J	`jnl`	DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. CoRR Faraz Torabi, Garrett Warnell, Peter Stone
2021	A*	`conf`	Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. AAAI Yu-Sian Jiang, Garrett Warnell, Peter Stone
2021	J	`jnl`	Grounded action transformation for sim-to-real reinforcement learning. Mach. Learn. Josiah P. Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, Peter Stone
2021	J	`jnl`	Improving Autonomous Robotic Navigation Using Imitation Learning. Frontiers Robotics AI Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
2021	—	`conf`	Improving Trajectory Tracking Accuracy for Faster and Safer Autonomous Navigation of Ground Vehicles in Off-Road Settings. SSRR Jason M. Gregory, Garrett Warnell, Jonathan Fink, Satyandra K. Gupta
2021	—	`conf`	Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning. SSRR Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, Peter Stone
2021	J	`jnl`	Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. IEEE Trans. Autom. Control. Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro
2021	J	`jnl`	RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning. CoRR Eddy Hudson, Garrett Warnell, Peter Stone
2021	J	`jnl`	Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks. CoRR Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
2021	J	`jnl`	Recent advances in leveraging human guidance for sequential decision-making tasks. Auton. Agents Multi Agent Syst. Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
2021	J	`jnl`	Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. CoRR Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
2021	J	`jnl`	Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. IEEE Robotics Autom. Lett. Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021	J	`jnl`	VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. CoRR Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
2021	J	`jnl`	Visual Representation Learning for Preference-Aware Path Planning. CoRR Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas
2020	J	`jnl`	APPLD: Adaptive Planner Parameter Learning From Demonstration. IEEE Robotics Autom. Lett. Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
2020	J	`jnl`	APPLD: Adaptive Planner Parameter Learning from Demonstration. CoRR Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
2020	J	`jnl`	APPLI: Adaptive Planner Parameter Learning From Interventions. CoRR Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020	J	`jnl`	APPLR: Adaptive Planner Parameter Learning from Reinforcement. CoRR Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2020	A	`conf`	Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. AAMAS Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020	J	`jnl`	Agents teaching agents: a survey on inter-agent transfer learning. Auton. Agents Multi Agent Syst. Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020	J	`jnl`	An Imitation from Observation Approach to Sim-to-Real Transfer. CoRR Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020	A*	`conf`	An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. NeurIPS Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020	Misc	`conf`	Learning to Improve Multi-Robot Hallway Navigation. CoRL Jin Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, Peter Stone
2020	J	`jnl`	Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy. CoRR Yunshu Du, Garrett Warnell, Assefaw Hadish Gebremedhin, Peter Stone, Matthew E. Taylor
2020	J	`jnl`	Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. CoRR Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020	J	`jnl`	RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. IEEE Robotics Autom. Lett. Brahma S. Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, Peter Stone
2020	A	`conf`	Reinforced Grounded Action Transformation for Sim-to-Real Transfer. IROS Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	J	`jnl`	Reinforced Grounded Action Transformation for Sim-to-Real Transfer. CoRR Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	A	`conf`	Stochastic Grounded Action Transformation for Robot Learning in Simulation. IROS Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	J	`jnl`	Stochastic Grounded Action Transformation for Robot Learning in Simulation. CoRR Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
2020	J	`jnl`	Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination. CoRR Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2019	J	`jnl`	A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell
2019	A	`conf`	Adversarial Imitation Learning from State-only Demonstrations. AAMAS Faraz Torabi, Garrett Warnell, Peter Stone
2019	J	`jnl`	Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell
2019	J	`jnl`	Human Gaze-Driven Spatial Tasking of an Autonomous MAV. IEEE Robotics Autom. Lett. Liangzhe Yuan, Christopher M. Reardon, Garrett Warnell, Giuseppe Loianno
2019	A*	`conf`	Imitation Learning from Video by Leveraging Proprioception. IJCAI Faraz Torabi, Garrett Warnell, Peter Stone
2019	J	`jnl`	Imitation Learning from Video by Leveraging Proprioception. CoRR Faraz Torabi, Garrett Warnell, Peter Stone
2019	J	`jnl`	Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. J. Mach. Learn. Res. Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2019	J	`jnl`	RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. CoRR Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, Peter Stone
2019	A*	`conf`	Recent Advances in Imitation Learning from Observation. IJCAI Faraz Torabi, Garrett Warnell, Peter Stone
2019	J	`jnl`	Recent Advances in Imitation Learning from Observation. CoRR Faraz Torabi, Garrett Warnell, Peter Stone
2019	J	`jnl`	Sample-efficient Adversarial Imitation Learning from Observation. CoRR Faraz Torabi, Sean Geiger, Garrett Warnell, Peter Stone
2018	B	`conf`	A Study of Human-Robot Copilot Systems for En-route Destination Changing. RO-MAN Yu-Sian Jiang, Garrett Warnell, Eduardo Munera, Peter Stone
2018	A*	`conf`	Behavioral Cloning from Observation. IJCAI Faraz Torabi, Garrett Warnell, Peter Stone
2018	J	`jnl`	Behavioral Cloning from Observation. CoRR Faraz Torabi, Garrett Warnell, Peter Stone
2018	—	`conf`	DIPD: Gaze-Based Intention Inference in Dynamic Environments. AAAI Workshops Yu-Sian Jiang, Garrett Warnell, Peter Stone
2018	A*	`conf`	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2018	J	`jnl`	Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. CoRR Prabhat Nagarajan, Garrett Warnell, Peter Stone
2018	J	`jnl`	Generative Adversarial Imitation from Observation. CoRR Faraz Torabi, Garrett Warnell, Peter Stone
2018	B	`conf`	Inferring User Intention using Gaze in Vehicles. ICMI Yu-Sian Jiang, Garrett Warnell, Peter Stone
2017	J	`jnl`	D4L: Decentralized Dynamic Discriminative Dictionary Learning. IEEE Trans. Signal Inf. Process. over Networks Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2017	J	`jnl`	Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
2017	Misc	`conf`	Parsimonious Online Learning with Kernels via sparse projections in function space. ICASSP Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	J	`jnl`	Decentralized Dynamic Discriminative Dictionary Learning. CoRR Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	A	`conf`	Online learning for characterizing unknown environments in ground robotic vehicle models. IROS Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	J	`jnl`	Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. CoRR Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2016	J	`jnl`	Semantics for UGV Registration in GPS-denied Environments. CoRR Gordon A. Christie, Garrett Warnell, Kevin Kochersberger
2015	A	`conf`	D4L: Decentralized dynamic discriminative dictionary learning. IROS Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
2014	—	`—`	Adaptive Sensing and Processing for Some Computer Vision Problems. Garrett Warnell