OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8973-8979
Open Access | Times Cited: 409

Showing 1-25 of 409 citing articles:

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 733

Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 655

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 12619-12629
Closed Access | Times Cited: 367

Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng, Erwin Coumans, Tingnan Zhang, et al.
(2020)
Open Access | Times Cited: 277

Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 4550-4559
Open Access | Times Cited: 210

A Survey on Learning-Based Robotic Grasping
Kilian Kleeberger, Richard Bormann, Werner Kraus, et al.
Current Robotics Reports (2020) Vol. 1, Iss. 4, pp. 239-249
Open Access | Times Cited: 209

A Review of Physics Simulators for Robotic Applications
Jack Collins, Shelvin Chand, Anthony Vanderkop, et al.
IEEE Access (2021) Vol. 9, pp. 51416-51431
Open Access | Times Cited: 172

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 211-220
Open Access | Times Cited: 167

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 157

The Franka Emika Robot: A Reference Platform for Robotics Research and Education
Sami Haddadin, Sven Parusel, Lars Johannsmeier, et al.
IEEE Robotics & Automation Magazine (2022) Vol. 29, Iss. 2, pp. 46-64
Closed Access | Times Cited: 86

Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real
Qinghai Miao, Yisheng Lv, Min Huang, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 3, pp. 603-631
Closed Access | Times Cited: 54

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach
Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6923-6923
Open Access | Times Cited: 134

A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, et al.
IEEE Transactions on Robotics (2019) Vol. 36, Iss. 2, pp. 328-347
Open Access | Times Cited: 133

A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks—Some New Trends
Rui Li, Hong Qiao
IEEE/ASME Transactions on Mechatronics (2019) Vol. 24, Iss. 6, pp. 2718-2732
Closed Access | Times Cited: 122

On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
HeeSun Choi, Cindy Crump, Christian Duriez, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 118, Iss. 1
Open Access | Times Cited: 108

Robotic assembly of timber joints using reinforcement learning
Aleksandra Anna Apolinarska, Matteo Pacher, Hui Li, et al.
Automation in Construction (2021) Vol. 125, pp. 103569-103569
Open Access | Times Cited: 94

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors
Artem Molchanov, Tao Chen, Wolfgang Hönig, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 59-66
Open Access | Times Cited: 86

Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua
IEEE Access (2020) Vol. 8, pp. 178450-178481
Open Access | Times Cited: 81

Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 73

Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
Jeevan Devaranjan, Amlan Kar, Sanja Fidler
Lecture notes in computer science (2020), pp. 715-733
Closed Access | Times Cited: 70

Underwater Soft Robot Modeling and Control With Differentiable Simulation
Tao Du, Josie Hughes, Sebastien Wah, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 4994-5001
Open Access | Times Cited: 63

Toward next-generation learned robot manipulation
Jinda Cui, Jeff Trinkle
Science Robotics (2021) Vol. 6, Iss. 54
Closed Access | Times Cited: 58

Transferring policy of deep reinforcement learning from simulation to reality for robotics
Hao Ju, Rongshun Juan, Randy Gómez, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1077-1087
Closed Access | Times Cited: 50

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