Rika Antonova
Impact in
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- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Robot Manipulation and Learning 6
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- Reinforcement Learning in Robotics 4
- Machine Learning and Algorithms 2
- Gaussian Processes and Bayesian Inference 2
- Co-authors
- Jeannette Bohg (8 shared papers)Marion Lepert (3 shared papers)Jimmy Wu (3 shared papers)Andy Zeng (2 shared papers)Szymon Rusinkiewicz (2 shared papers)Shuran Song (2 shared papers)Thomas Funkhouser (2 shared papers)Priya Sundaresan (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Autonomous Robots (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Rika Antonova
14 papers receiving 291 citations
Rika Antonova's Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 110
- Control and Systems Engineering 119
- Artificial Intelligence 121
- Human-Computer Interaction 15
- Industrial and Manufacturing Engineering 25
Countries citing papers authored by Rika Antonova
This map shows the geographic impact of Rika Antonova'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 Rika Antonova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rika Antonova more than expected).
Fields of papers citing papers by Rika Antonova
This network shows the impact of papers produced by Rika Antonova. 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 Rika Antonova. The network helps show where Rika Antonova may publish in the future.
Co-authors
The 25 scholars most cited alongside Rika Antonova, 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 | TidyBot: personalized robot assistance with large language models Hit paper breakdown → | 2023 | 98 |
| 2 | 2020 | 55 | |
| 3 | 2023 | 50 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 14 | |
| 6 | 2024 | 12 | |
| 7 | 2022 | 12 | |
| 8 | Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots | 2019 | 9 |
| 9 | 2023 | 9 | |
| 10 | 2020 | 6 | |
| 11 | Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation | 2018 | 4 |
| 12 | Dynamic Environments with Deformable Objects | 2021 | 4 |
| 13 | 2023 | 2 | |
| 14 | 2016 | 2 |
About Rika Antonova
Rika Antonova is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 14 papers that have together received 297 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers), Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers), Machine Learning and Algorithms (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (110 citations), Control and Systems Engineering (119 citations), Artificial Intelligence (121 citations), Human-Computer Interaction (15 citations) and Industrial and Manufacturing Engineering (25 citations). Rika Antonova has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Jeannette Bohg, Marion Lepert, Jimmy Wu, Andy Zeng, Szymon Rusinkiewicz, Shuran Song, Thomas Funkhouser, Priya Sundaresan, Danica Kragić and Hang Yin. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, KTH Publication Database DiVA (KTH Royal Institute of Technology), arXiv (Cornell University) and Neural Information Processing Systems.
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.