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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:

Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots
Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 4, pp. 5709-5716
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Deep reinforcement learning in production systems: a systematic literature review
Marcel Panzer, Benedict Bender
International Journal of Production Research (2021) Vol. 60, Iss. 13, pp. 4316-4341
Open Access | Times Cited: 150
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
Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix
Masahide Oikawa, Tsukasa Kusakabe, Kyo Kutsuzawa, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 2737-2744
Closed Access | Times Cited: 35
Hybrid Trajectory and Force Learning of Complex Assembly Tasks: A Combined Learning Framework
Yan Wang, Cristian C. Beltran-Hernandez, Weiwei Wan, et al.
IEEE Access (2021) Vol. 9, pp. 60175-60186
Open Access | Times Cited: 22
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning
Yan Wang, Cristian C. Beltran-Hernandez, Weiwei Wan, et al.
(2021), pp. 11278-11284
Open Access | Times Cited: 17
Multiple peg-in-hole compliant assembly based on a learning-accelerated deep deterministic policy gradient strategy
Xinwang Li, Juliang Xiao, Wei Zhao, et al.
Industrial Robot the international journal of robotics research and application (2021) Vol. 49, Iss. 1, pp. 54-64
Closed Access | Times Cited: 14
Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning
Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 3918-3925
Open Access | Times Cited: 13
An Accelerated Error Convergence Design Criterion and Implementation of Lebesgue-p Norm ILC Control Topology for Linear Position Control Systems
Saleem Riaz, Hui Lin, Muhammad Waqas, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 11
Dual-Arm Peg-in-Hole Assembly Using DNN with Double Force/Torque Sensor
David Ortega, Julio Fernando Jimenez-Vielma, Baidya Nath Saha, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6970-6970
Open Access | Times Cited: 8
Controlling Pivoting Gait Using Graph Model Predictive Control
Ang Zhang, Keisuke Koyama, Weiwei Wan, et al.
IEEE Access (2021) Vol. 9, pp. 73757-73770
Open Access | Times Cited: 6
Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering
Mythra V. Balakuntala, Upinder Kaur, Xin Ma, et al.
(2021), pp. 4679-4685
Open Access | Times Cited: 6
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
A. Serrano-Muñoz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 124, Iss. 9, pp. 3171-3183
Open Access | Times Cited: 5
Safe Data-Driven Contact-Rich Manipulation
Ioanna Mitsioni, Pouria Tajvar, Danica Kragić, et al.
(2021), pp. 120-127
Open Access | Times Cited: 4
Robust Adaptive Nonlinear Admittance Control of Robotic Manipulators with Extra-Intra Uncertainties and Disturbances
Shubo Zhang, Zhong Chen, Xianmin Zhang
Research Square (Research Square) (2024)
Open Access
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
Van‐Dinh Nguyen, Brett Daley, Xinchao Song, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3
Reinforced Meta-Learning Method for Shape-Dependent Regulation of Cutting Force in Pork Carcass Operation Robots
Xiaopeng Wang, Lei Cai
(2023) Vol. 37, pp. 223-229
Closed Access | Times Cited: 1
Developing the Reinforcement-Learning Child Agents for Measuring Play and Learning Performance in Kindergarten Design
Jin Lee, Seung Wan Hong
eCAADe proceedings (2023) Vol. 1, pp. 69-78
Open Access | Times Cited: 1
Deep Reinforcement Learning with Shaping Exploration Space for Robotic Assembly
Chuang Wang, Chengqi Lin, Biao Liu, et al.
(2021), pp. 345-351
Closed Access | Times Cited: 2
Deep Model Predictive Variable Impedance Control
Akhil S Anand, Fares J. Abu‐Dakka, Jan Tommy Gravdahl
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
Min-Cheol Kim, Scott Niekum, Ashish D. Deshpande
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning
Yan Wang, Cristian C. Beltran-Hernandez, Weiwei Wan, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
A guided reinforcement learning approach using shared control templates for learning manipulation skills in the real world
Abhishek Padalkar, Gabriel Quere, Antonin Raffin, et al.
Research Square (Research Square) (2023)
Open Access
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
Elie Aljalbout, F. Frank, Maximilian Karl, et al.
arXiv (Cornell University) (2023)
Open Access
Uncertainty-aware Contact-safe Model-based Reinforcement Learning
Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, et al.
arXiv (Cornell University) (2020)
Open Access
Object Texture Recognition Based on Grasping Force Data Using Feedforward Neural Network
A. B. Roslan, Ruhizan Liza Ahmad Shauri
Journal of Electrical & Electronic Systems Research (2022) Vol. 20, Iss. APR2022, pp. 77-83
Open Access
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