OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Stability-Guaranteed Reinforcement Learning for Contact-Rich Manipulation
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, et al.
IEEE Robotics and Automation Letters (2020) Vol. 6, Iss. 1, pp. 1-8
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A survey of robot manipulation in contact
Markku Suomalainen, Yiannis Karayiannidis, Ville Kyrki
Robotics and Autonomous Systems (2022) Vol. 156, pp. 104224-104224
Open Access | Times Cited: 72

Variable Impedance Control and Learning—A Review
Fares J. Abu‐Dakka, Matteo Saveriano
Frontiers in Robotics and AI (2020) Vol. 7
Open Access | Times Cited: 107

A review on reinforcement learning for contact-rich robotic manipulation tasks
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, Dimitrios Chrysostomou, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102517-102517
Open Access | Times Cited: 67

Peg-in-Hole Assembly With Dual-Arm Robot and Dexterous Robot Hands
Dong‐Hyuk Lee, Myoung‐Su Choi, Hyeonjun Park, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 8566-8573
Closed Access | Times Cited: 28

Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments
Alberto del Río, David Jiménez, Javier Serrano
IEEE Access (2024) Vol. 12, pp. 146795-146806
Open Access | Times Cited: 6

Adaptive Compliant Skill Learning for Contact-Rich Manipulation With Human in the Loop
Weiyong Si, Yuan Guan, Ning Wang
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 5834-5841
Closed Access | Times Cited: 21

Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing
Weixuan Zhang, Lionel Ott, Marco Tognon, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 11275-11282
Open Access | Times Cited: 19

Enhancing Adaptive Visual Impedance Control Through Proximal Policy Optimization
Yichao Huang, Y. B. Zhao, Jingzhen Guo, et al.
Smart innovation, systems and technologies (2025), pp. 273-287
Closed Access

An Optimal Variable Impedance Control With Consideration of the Stability
Zhehao Jin, Andong Liu, Wen‐An Zhang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 1737-1744
Closed Access | Times Cited: 15

Model-based variable impedance learning control for robotic manipulation
Akhil S Anand, Jan Tommy Gravdahl, Fares J. Abu‐Dakka
Robotics and Autonomous Systems (2023) Vol. 170, pp. 104531-104531
Open Access | Times Cited: 8

Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
Xiang Zhang, Shiyu Jin, Changhao Wang, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 9881-9887
Open Access | Times Cited: 13

A Passivity-Based Approach for Variable Stiffness Control With Dynamical Systems
Youssef Michel, Matteo Saveriano, Dongheui Lee
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6265-6276
Open Access | Times Cited: 6

Configuration and Force-field Aware Variable Impedance Control with Faster Re-learning
Shail Jadav, Harish J. Palanthandalam‐Madapusi
Journal of Intelligent & Robotic Systems (2023) Vol. 110, Iss. 1
Closed Access | Times Cited: 5

Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, Dimitrios Chrysostomou, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11610-11610
Open Access | Times Cited: 8

RMPs for Safe Impedance Control in Contact-Rich Manipulation
Seiji Shaw, Ben Abbatematteo, George Konidaris
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 2707-2713
Open Access | Times Cited: 8

Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 8583-8590
Open Access | Times Cited: 10

Vision-Based High-Precision Assembly with Force Feedback
Yurou Chen, Jiyang Yu, Liancheng Shen, et al.
(2023), pp. 399-404
Closed Access | Times Cited: 3

Learning Stable Normalizing-Flow Control for Robotic Manipulation
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, et al.
(2021), pp. 1644-1650
Open Access | Times Cited: 6

An Admittance Parameter Optimization Method Based on Reinforcement Learning for Robot Force Control
Hu Xiaoyi, Gongping Liu, Peipei Ren, et al.
Actuators (2024) Vol. 13, Iss. 9, pp. 354-354
Open Access

Active Compliance Variable Impedance Control of Lower Supernumerary Robotic Limb*
Jun Huo, Xinyi Wang, Bo Yang, et al.
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2024), pp. 19-24
Closed Access

Learning latent causal factors from the intricate sensor feedback of contact-rich robotic assembly tasks
Yurou Chen, Jiyang Yu, Zhenyang Lin, et al.
Robotics and Autonomous Systems (2024) Vol. 183, pp. 104832-104832
Closed Access

Research on Admittance Control of Manipulator Based on Proximal Policy Optimization Algorithm and Visual Perception
一超 黄
Modeling and Simulation (2024) Vol. 13, Iss. 06, pp. 6512-6524
Closed Access

Variable Impedance Control Combining Reinforcement Learning and Gaussian Process Regression
Paolino De Risi, Fabio Amadio, Gianluca Garofalo, et al.
(2024), pp. 343-350
Closed Access

Spatial Transform Soft Actor-Critic for Robot Grasping Skill Learning
Zihao Sun, Xianfeng Yuan, Yong Song, et al.
2021 China Automation Congress (CAC) (2023), pp. 38-43
Closed Access | Times Cited: 1

An actor-critic learning framework based on Lyapunov stability for automatic assembly
Xinwang Li, Juliang Xiao, Yu Cheng, et al.
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 4801-4812
Closed Access | Times Cited: 2

Page 1 - Next Page

Scroll to top