Garrett Warnell

1.6k total citations
50 papers, 802 citations indexed

About

Garrett Warnell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Garrett Warnell has authored 50 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 17 papers in Control and Systems Engineering. Recurrent topics in Garrett Warnell's work include Robotic Path Planning Algorithms (19 papers), Robot Manipulation and Learning (14 papers) and Reinforcement Learning in Robotics (13 papers). Garrett Warnell is often cited by papers focused on Robotic Path Planning Algorithms (19 papers), Robot Manipulation and Learning (14 papers) and Reinforcement Learning in Robotics (13 papers). Garrett Warnell collaborates with scholars based in United States, United Kingdom and Brazil. Garrett Warnell's co-authors include Peter Stone, Xuesu Xiao, Bo Liu, Haresh Karnan, Zizhao Wang, Rama Chellappa, Joydeep Biswas, Felipe Leno da Silva, Anna Helena Reali Costa and Zifan Xu and has published in prestigious journals such as IEEE Transactions on Image Processing, Machine Learning and Neural Computing and Applications.

In The Last Decade

Garrett Warnell

50 papers receiving 787 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Garrett Warnell United States 17 435 247 181 180 112 50 802
Mustafa Mukadam United States 15 458 1.1× 194 0.8× 390 2.2× 228 1.3× 96 0.9× 30 753
Brian Ichter United States 13 448 1.0× 330 1.3× 282 1.6× 256 1.4× 42 0.4× 25 935
Tsai‐Yen Li Taiwan 13 573 1.3× 121 0.5× 304 1.7× 233 1.3× 58 0.5× 69 860
Pete Florence United States 12 574 1.3× 254 1.0× 361 2.0× 279 1.6× 91 0.8× 17 996
Huimin Lu China 18 589 1.4× 140 0.6× 184 1.0× 490 2.7× 97 0.9× 117 1.1k
Hakan Temeltaş Türkiye 16 282 0.6× 89 0.4× 371 2.0× 302 1.7× 124 1.1× 101 815
Jen‐Hui Chuang Taiwan 17 807 1.9× 90 0.4× 157 0.9× 205 1.1× 43 0.4× 89 1.1k
Hangxin Liu China 16 220 0.5× 199 0.8× 283 1.6× 90 0.5× 107 1.0× 59 725
Johannes A. Stork Sweden 16 432 1.0× 272 1.1× 462 2.6× 120 0.7× 259 2.3× 44 930

Countries citing papers authored by Garrett Warnell

Since Specialization
Citations

This map shows the geographic impact of Garrett Warnell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Garrett Warnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garrett Warnell more than expected).

Fields of papers citing papers by Garrett Warnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrett Warnell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Garrett Warnell. The network helps show where Garrett Warnell may publish in the future.

Co-authorship network of co-authors of Garrett Warnell

This figure shows the co-authorship network connecting the top 25 collaborators of Garrett Warnell. A scholar is included among the top collaborators of Garrett Warnell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garrett Warnell. Garrett Warnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Warnell, Garrett, et al.. (2025). pacer: Preference-Conditioned All-Terrain Costmap Generation. IEEE Robotics and Automation Letters. 10(5). 4572–4579. 1 indexed citations
2.
3.
Xiao, Xuesu, Zifan Xu, Aniket Datar, et al.. (2024). Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]. IEEE Robotics & Automation Magazine. 31(3). 197–204. 7 indexed citations
4.
Park, Jin‐Soo, et al.. (2023). Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. 10033–10039. 5 indexed citations
5.
Xiao, Xuesu, Zizhao Wang, Zifan Xu, et al.. (2022). APPL: Adaptive Planner Parameter Learning. Robotics and Autonomous Systems. 154. 104132–104132. 33 indexed citations
6.
Karnan, Haresh, Xuesu Xiao, Garrett Warnell, et al.. (2022). Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. IEEE Robotics and Automation Letters. 7(4). 11807–11814. 64 indexed citations
7.
Warnell, Garrett, et al.. (2022). Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. 2022 International Conference on Robotics and Automation (ICRA). 2482–2488. 4 indexed citations
8.
Karnan, Haresh, et al.. (2022). VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3294–3301. 27 indexed citations
9.
Warnell, Garrett, et al.. (2022). Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control. Robotics. 11(4). 67–67. 4 indexed citations
10.
Xiao, Xuesu, Bo Liu, Garrett Warnell, & Peter Stone. (2021). Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. IEEE Robotics and Automation Letters. 6(2). 1503–1510. 34 indexed citations
11.
Xu, Zifan, Xuesu Xiao, Garrett Warnell, et al.. (2021). APPLR: Adaptive Planner Parameter Learning from Reinforcement. 6086–6092. 30 indexed citations
12.
Wang, Zizhao, Xuesu Xiao, Garrett Warnell, & Peter Stone. (2021). APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. IEEE Robotics and Automation Letters. 6(4). 7744–7749. 23 indexed citations
13.
Warnell, Garrett, et al.. (2021). Lucid dreaming for experience replay: refreshing past states with the current policy. Neural Computing and Applications. 34(3). 1687–1712. 8 indexed citations
14.
Warnell, Garrett, et al.. (2021). DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2391–2397. 2 indexed citations
15.
Warnell, Garrett, et al.. (2021). Improving Autonomous Robotic Navigation Using Imitation Learning. Frontiers in Robotics and AI. 8. 627730–627730. 11 indexed citations
16.
Durugkar, Ishan, et al.. (2020). An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch.. Neural Information Processing Systems. 33. 3917–3929. 2 indexed citations
17.
Xiao, Xuesu, Bo Liu, Garrett Warnell, Jonathan Fink, & Peter Stone. (2020). APPLD: Adaptive Planner Parameter Learning From Demonstration. IEEE Robotics and Automation Letters. 5(3). 4541–4547. 43 indexed citations
18.
Warnell, Garrett, et al.. (2019). Adversarial Imitation Learning from State-only Demonstrations. Adaptive Agents and Multi-Agents Systems. 2229–2231. 5 indexed citations
19.
Warnell, Garrett, et al.. (2018). DIPD: Gaze-Based Intention Inference in Dynamic Environments.. National Conference on Artificial Intelligence. 614–621. 4 indexed citations
20.
Koppel, Alec, Jonathan Fink, Garrett Warnell, Ethan Stump, & Alejandro Ribeiro. (2016). Online learning for characterizing unknown environments in ground robotic vehicle models. 626–633. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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