Christopher Agia
Impact in
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- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotics and Automated Systems
Papers in
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- Reinforcement Learning in Robotics 5
- AI-based Problem Solving and Planning 2
- Anomaly Detection Techniques and Applications 2
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- Robotic Path Planning Algorithms 3
- Multimodal Machine Learning Applications 2
- Co-authors
- Marco Pavone (5 shared papers)Toki Migimatsu (2 shared papers)Jeannette Bohg (3 shared papers)Edward Schmerling (2 shared papers)Issa Nesnas (2 shared papers)Goldie Nejat (1 shared paper)Kaicheng Zhang (1 shared paper)Ran Cheng (2 shared papers)
- Journals
- Autonomous Robots (2 papers)IEEE Transactions on Intelligent Vehicles (1 paper)IEEE Robotics and Automation Letters (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)elib (German Aerospace Center) (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Christopher Agia
11 papers receiving 511 citations
Christopher Agia's Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 159
- Control and Systems Engineering 137
- Artificial Intelligence 182
- Industrial and Manufacturing Engineering 30
- Software 10
Countries citing papers authored by Christopher Agia
This map shows the geographic impact of Christopher Agia'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 Christopher Agia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Agia more than expected).
Fields of papers citing papers by Christopher Agia
This network shows the impact of papers produced by Christopher Agia. 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 Christopher Agia. The network helps show where Christopher Agia may publish in the future.
Co-authors
The 23 scholars most cited alongside Christopher Agia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Text2Motion: from natural language instructions to feasible plans Hit paper breakdown → | 2023 | 157 |
| 2 | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 Hit paper breakdown → | 2024 | 86 |
| 3 | DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset Hit paper breakdown → | 2024 | 83 |
| 4 | 2023 | 71 | |
| 5 | 2021 | 69 | |
| 6 | 2024 | 22 | |
| 7 | 2021 | 15 | |
| 8 | 2023 | 10 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Christopher Agia
Christopher Agia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 13 papers that have together received 526 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Robot Manipulation and Learning (4 papers), Robotic Path Planning Algorithms (3 papers), AI-based Problem Solving and Planning (2 papers), Anomaly Detection Techniques and Applications (2 papers), Robotics and Sensor-Based Localization (2 papers), Network Security and Intrusion Detection (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Control and Systems Engineering (137 citations), Artificial Intelligence (182 citations), Industrial and Manufacturing Engineering (30 citations) and Software (10 citations). Christopher Agia has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Marco Pavone, Toki Migimatsu, Jeannette Bohg, Edward Schmerling, Issa Nesnas, Goldie Nejat, Kaicheng Zhang, Ran Cheng, Bingbing Liu and Jiajun Wu. Their work appears in journals such as Autonomous Robots, IEEE Transactions on Intelligent Vehicles, IEEE Robotics and Automation Letters, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and elib (German Aerospace Center).
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.