Rika Antonova

608 total citations · 1 hit paper
14 papers, 297 citations indexed

About

Rika Antonova is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rika Antonova has authored 14 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rika Antonova's work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Model Reduction and Neural Networks (2 papers). Rika Antonova is often cited by papers focused on Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Model Reduction and Neural Networks (2 papers). Rika Antonova collaborates with scholars based in United States, Sweden and Italy. Rika Antonova's co-authors include Jeannette Bohg, Marion Lepert, Jimmy Wu, Shuran Song, Szymon Rusinkiewicz, Andy Zeng, Thomas Funkhouser, Priya Sundaresan, Danica Kragić and Hang Yin and has published in prestigious journals such as Autonomous Robots, IEEE Robotics and Automation Letters and arXiv (Cornell University).

In The Last Decade

Rika Antonova

14 papers receiving 291 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TidyBot: personalized robot assistance with large language models

2023 98 citations Jimmy Wu, Rika Antonova et al. Autonomous Robots profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rika Antonova United States	9	121	119	110	43	34	14	297
Viktor Makoviychuk United Kingdom	8	59 0.5×	196 1.6×	83 0.8×	61 1.4×	33 1.0×	10	260
Zhenjia Xu China	3	64 0.5×	123 1.0×	84 0.8×	32 0.7×	30 0.9×	13	254
Zhenjia Xu United States	6	62 0.5×	154 1.3×	95 0.9×	64 1.5×	29 0.9×	7	274
Claudia Pérez-D’Arpino United States	8	110 0.9×	187 1.6×	165 1.5×	48 1.1×	33 1.0×	14	370
Danny Driess Germany	12	99 0.8×	178 1.5×	147 1.3×	74 1.7×	41 1.2×	20	370
Diego Romeres United States	11	81 0.7×	224 1.9×	46 0.4×	60 1.4×	42 1.2×	47	345
Yangsheng Xu Hong Kong	4	74 0.6×	189 1.6×	140 1.3×	63 1.5×	44 1.3×	9	338
Tingwu Wang Canada	4	150 1.2×	105 0.9×	200 1.8×	28 0.7×	13 0.4×	6	328
Manuel Wüthrich Germany	9	101 0.8×	149 1.3×	120 1.1×	46 1.1×	25 0.7×	17	269
Yunrong Guo Canada	8	71 0.6×	173 1.5×	186 1.7×	67 1.6×	20 0.6×	10	334

Countries citing papers authored by Rika Antonova

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rika Antonova

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Antonova. A scholar is included among the top collaborators of Rika Antonova 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 Rika Antonova. Rika Antonova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Deng, Congyue, et al.. (2024). EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. 9249–9255. 12 indexed citations

2.

Wu, Jimmy, Rika Antonova, Marion Lepert, et al.. (2023). TidyBot: Personalized Robot Assistance with Large Language Models. 3546–3553. 50 indexed citations

3.

Lepert, Marion, et al.. (2023). In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion. 8765–8771. 9 indexed citations

4.

Wu, Jimmy, Rika Antonova, Marion Lepert, et al.. (2023). TidyBot: personalized robot assistance with large language models. Autonomous Robots. 47(8). 1087–1102. 98 indexed citations breakdown →

5.

Li, Mengxi, Rika Antonova, Dorsa Sadigh, & Jeannette Bohg. (2023). Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation. 1859–1865. 2 indexed citations

6.

Yang, Jingyun, et al.. (2022). Learning Periodic Tasks from Human Demonstrations. 2022 International Conference on Robotics and Automation (ICRA). 8658–8665. 14 indexed citations

7.

Antonova, Rika, et al.. (2022). A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. IEEE Robotics and Automation Letters. 7(3). 5819–5826. 12 indexed citations

8.

Sundaresan, Priya, Rika Antonova, & Jeannette Bohg. (2022). DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10828–10835. 20 indexed citations

9.

Antonova, Rika, et al.. (2021). Dynamic Environments with Deformable Objects. Neural Information Processing Systems. 4 indexed citations

10.

Lippi, Martina, Michael C. Welle, Hang Yin, et al.. (2020). Benchmarking Bimanual Cloth Manipulation. IEEE Robotics and Automation Letters. 5(2). 1111–1118. 55 indexed citations

11.

Kragić, Danica, et al.. (2020). Variational Auto-Regularized Alignment for Sim-to-Real Control. 2732–2738. 6 indexed citations

12.

Rai, Akshara, Rika Antonova, Franziska Meier, & Christopher G. Atkeson. (2019). Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. arXiv (Cornell University). 20(49). 1–24. 9 indexed citations

13.

Antonova, Rika, et al.. (2018). Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 87. 641–650. 4 indexed citations

14.

Antonova, Rika, et al.. (2016). Automatically Learning to Teach to the Learning Objectives. 317–320. 2 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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