Open Access Helper

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:

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 1010-1017
Open Access | Times Cited: 151

Showing 51-75 of 151 citing articles:

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
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
Elie Aljalbout, F. Frank, Maximilian Karl, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5895-5902
Open Access | Times Cited: 2
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
A. O'Neill, Abdul Rehman, Abhiram Maddukuri, et al.
(2024), pp. 6892-6903
Closed Access | Times Cited: 2
An Intuitive Formulation of the Human Arm Active Endpoint Stiffness
Yuqiang Wu, Fei Zhao, Wansoo Kim, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5357-5357
Open Access | Times Cited: 16
Joint Space Control via Deep Reinforcement Learning
Visak Kumar, David Hoeller, Balakumar Sundaralingam, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 3619-3626
Open Access | Times Cited: 15
Learning to Centralize Dual-Arm Assembly
Marvin Alles, Elie Aljalbout
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 10
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
Aditya Ganapathi, Pete Florence, Jake Varley, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 2656-2662
Open Access | Times Cited: 10
Deep Compliant Control
Seunghwan Lee, Phil Sik Chang, Jehee Lee
(2022)
Closed Access | Times Cited: 10
Active compliance control of robot peg-in-hole assembly based on combined reinforcement learning
Chengjun Chen, Chenxu Zhang, Yong Pan
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30677-30690
Closed Access | Times Cited: 6
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
Hierarchical Neural Dynamic Policies
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
(2021)
Open Access | Times Cited: 13
Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks
Peter Zachares, Michelle A. Lee, Wenzhao Lian, et al.
(2021), pp. 3410-3417
Open Access | Times Cited: 13
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
Thomas Lew, Sumeet Singh, Mario Prats, et al.
(2023) Vol. 38, pp. 7184-7190
Open Access | Times Cited: 5
Variable Admittance Interaction Control of UAVs via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, et al.
(2023)
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
Learning Contact-Rich Assembly Skills Using Residual Admittance Policy
Oren Spector, Miriam Zacksenhouse
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6023-6030
Closed Access | Times Cited: 11
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 Skill-based Industrial Robot Tasks with User Priors
Matthias Mayr, Carl Hvarfner, Konstantinos Chatzilygeroudis, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2022), pp. 1485-1492
Open Access | Times Cited: 8
Data-Efficient Reinforcement Learning for Variable Impedance Control
Akhil S Anand, Rituraj Kaushik, Jan Tommy Gravdahl, et al.
IEEE Access (2024) Vol. 12, pp. 15631-15641
Open Access | Times Cited: 1
A Geometric Approach to Task-Specific Cartesian Stiffness Shaping
Nikola Knežević, Branko Lukić, Tadej Petrič, et al.
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 1
Open Access | Times Cited: 1
An Adaptive Control Method and Learning Strategy for Ultrasound-Guided Puncture Robot
Tao Li, Quan Zeng, Jinbiao Li, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 580-580
Open Access | Times Cited: 1
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
Zhaoming Xie, Xingye Da, B. N. Babich, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
Utilization of Image/Force/Tactile Sensor Data for Object-Shape-Oriented Manipulation: Wiping Objects With Turning Back Motions and Occlusion
Namiko Saito, Takumi Shimizu, Tetsuya Ogata, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 2, pp. 968-975
Closed Access | Times Cited: 10
A Hierarchical Compliance-Based Contextual Policy Search for Robotic Manipulation Tasks With Multiple Objectives
Zhimin Hou, Wenhao Yang, Rui Chen, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 5444-5455
Closed Access | Times Cited: 7
Robotic Peg-in-Hole Assembly Strategy Research Based on Reinforcement Learning Algorithm
Shaodong Li, Xiaogang Yuan, Jie Niu
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11149-11149
Open Access | Times Cited: 7

Scroll to top