Yevgen Chebotar

4.0k citations

15 papers · 935 indexed · 1 hit paper · h-index 11

Impact in

Control and Systems Engineering top 5%
- Robot Manipulation and Learning
Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning

Papers in

Control and Systems Engineering 6
- Robot Manipulation and Learning 5
- Advanced Control Systems Optimization 1
Artificial Intelligence 8
- Reinforcement Learning in Robotics 5

Co-authors: Stefan Schaal Sergey Levine Austin Waters Karol Hausman Gaurav S. Sukhatme Pierre Sermanet Eric Jang Corey Lynch
Journals: National Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (2 papers)TUbilio (Technical University of Darmstadt) (1 paper)
Partner nations: United States Germany United Kingdom

In The Last Decade

Yevgen Chebotar

15 papers receiving 892 citations

Hit Papers

align trajectories log scale

Time-Contrastive Networks: Self-Supervised Learning from Video 2018 · 305 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Time-Contrastive Networks: Self-Supervised Learning from Video

Peers

Countries citing papers authored by Yevgen Chebotar

Since Specialization

Citations

This map shows the geographic impact of Yevgen Chebotar'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 Yevgen Chebotar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgen Chebotar more than expected).

Fields of papers citing papers by Yevgen Chebotar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yevgen Chebotar. 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 Yevgen Chebotar. The network helps show where Yevgen Chebotar may publish in the future.

Co-authors

The 25 scholars most cited alongside Yevgen Chebotar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yevgen Chebotar Line = papers co-authored together Yevgen Chebotar links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

#	Work
1	Robotic Offline RL from Internet Videos via Value-Function Learning Головятенко Татьяна Альбертовна, 坂東ゆかり, А. В. Шевченко, Anikait Singh, 郝丽娟, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar	2024	2
2	RT-H: Action Hierarchies using Language Suneel Belkhale, Tianli Ding, Ted Xiao, Pierre Sermanet, Quan Vuong, Jonathan Tompson, Yevgen Chebotar, Debidatta Dwibedi, Dorsa Sadigh	2024	25
3	Scaling Up Multi-Task Robotic Reinforcement Learning Dmitry Kalashnikov, K. O. Abraham, Yevgen Chebotar, Markus Huss, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman	2021	3
4	Time-Contrastive Networks: Self-Supervised Learning from Video Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine, Jules Topart Hit paper breakdown →	2018	305
5	Regrasping using Tactile Perception and Supervised Policy Learning National Conference on Artificial Intelligence ·Karol Hausman, Yevgen Chebotar, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal	2017	5
6	Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning arXiv (Cornell University) ·Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine	2017	58
7	Collective robot reinforcement learning with distributed asynchronous guided policy search arXiv (Cornell University) ·Ali Abdullah Yahya, Adrian Li, Mrinal Kalakrishnan, Yevgen Chebotar, Sergey Levine	2017	79
8	Path integral guided policy search Yevgen Chebotar, Mrinal Kalakrishnan, Ali Abdullah Yahya, Adrian Li, Stefan Schaal, Sergey Levine	2017	58
9	Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition Yevgen Chebotar, Austin Waters	2016	99
10	BiGS: BioTac Grasp Stability Dataset Yevgen Chebotar, Karol Hausman, Anett Tóthné Kiss, Artem Molchanov, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal	2016	14
11	Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning Yevgen Chebotar, Karol Hausman, Anett Tóthné Kiss, Gaurav S. Sukhatme, Stefan Schaal	2016	58
12	Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal	2015	142
13	Force Estimation and Slip Detection for Grip Control using a Biomimetic Tactile Sensor Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal	2015	5
14	Learning robot tactile sensing for object manipulation Yevgen Chebotar, Oliver Kroemer, Jan Peters	2014	43
15	Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages TUbilio (Technical University of Darmstadt) ·Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar	2012	39

About Yevgen Chebotar

Yevgen Chebotar is a scholar working on Control and Systems Engineering, Artificial Intelligence, Cognitive Neuroscience, Communication and Biomedical Engineering, having authored 15 papers that have together received 935 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Reinforcement Learning in Robotics (5 papers), Muscle activation and electromyography studies (4 papers), Tactile and Sensory Interactions (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Advanced Control Systems Optimization (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Control and Systems Engineering (370 citations), Artificial Intelligence (449 citations), Computer Vision and Pattern Recognition (277 citations), Cognitive Neuroscience (190 citations) and Human-Computer Interaction (33 citations). Yevgen Chebotar has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stefan Schaal, Sergey Levine, Austin Waters, Karol Hausman, Gaurav S. Sukhatme, Pierre Sermanet, Eric Jang, Corey Lynch, Jasmine Hsu and Ali Abdullah Yahya. Their work appears in journals such as National Conference on Artificial Intelligence, arXiv (Cornell University) and TUbilio (Technical University of Darmstadt).

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.

Explore authors with similar magnitude of impact