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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:

Solving peg-in-hole tasks by human demonstration and exception strategies
Fares J. Abu‐Dakka, Bojan Nemec, Aljaž Kramberger, et al.
Industrial Robot the international journal of robotics research and application (2014) Vol. 41, Iss. 6, pp. 575-584
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
Auke Jan Ijspeert, Jun Nakanishi, H. Hoffmann, et al.
Neural Computation (2012) Vol. 25, Iss. 2, pp. 328-373
Open Access | Times Cited: 1420
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications
Valeria Villani, Fabio Pini, Francesco Leali, et al.
Mechatronics (2018) Vol. 55, pp. 248-266
Open Access | Times Cited: 902
Robot Learning from Demonstration in Robotic Assembly: A Survey
Zuyuan Zhu, Huosheng Hu
Robotics (2018) Vol. 7, Iss. 2, pp. 17-17
Open Access | Times Cited: 201
Dynamic movement primitives in robotics: A tutorial survey
Matteo Saveriano, Fares J. Abu‐Dakka, Aljaž Kramberger, et al.
The International Journal of Robotics Research (2023) Vol. 42, Iss. 13, pp. 1133-1184
Open Access | Times Cited: 71
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: 71
A review of robotic assembly strategies for the full operation procedure: planning, execution and evaluation
Yuze Jiang, Zhouzhou Huang, Bin Yang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102366-102366
Closed Access | Times Cited: 51
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
Jing Xu, Zhimin Hou, Zhi Liu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 70
Manual guidance for industrial robot programming
Daniele Massa, Massimo Callegari, Cristina Cristalli
Industrial Robot the international journal of robotics research and application (2015) Vol. 42, Iss. 5, pp. 457-465
Closed Access | Times Cited: 69
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano, Fares J. Abu‐Dakka, Aljaž Kramberger, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 47
A Noncontact Control Strategy for Circular Peg-in-Hole Assembly Guided by the 6-DOF Robot Based on Hybrid Vision
Jingjing Xu, Liu Kang, Yanhu Pei, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-15
Closed Access | Times Cited: 28
Comparison of Point Cloud Registration Techniques on Scanned Physical Objects
Menthy Denayer, Joris De Winter, Evandro Bernardes, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2142-2142
Open Access | Times Cited: 6
Computer Vision- and Human-Robot Interaction-Supported Assembly for Collaborative Off-Earth Habitat Construction
Henriette Bier, Arwin Hidding, J. Micah Prendergast, et al.
Smart innovation, systems and technologies (2025), pp. 103-114
Closed Access
Reinforcement learning based on movement primitives for contact tasks
Young-Loul Kim, Kuk-Hyun Ahn, Jae-Bok Song
Robotics and Computer-Integrated Manufacturing (2019) Vol. 62, pp. 101863-101863
Closed Access | Times Cited: 40
Industrial Robot Programming Methods: A Scoping Review
Oliver Heimann, Jan Guhl
(2020), pp. 696-703
Closed Access | Times Cited: 35
Simplified Programming of Re-usable Skills on a Safe Industrial Robot
Maj Stenmark, Mathias Haage, Elin Anna Topp
(2017)
Open Access | Times Cited: 33
Generalization of orientation trajectories and force–torque profiles for learning human assembly skill
Boyang Ti, Yongsheng Gao, Ming Shi, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 76, pp. 102325-102325
Closed Access | Times Cited: 17
Deep Visual-guided and Deep Reinforcement Learning Algorithm Based for Multip-Peg-in-Hole Assembly Task of Power Distribution Live-line Operation Robot
Li Zheng, Jiajun Ai, Yahao Wang, et al.
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 2
Open Access | Times Cited: 3
Learning-based Optimization Algorithms Combining Force Control Strategies for Peg-in-Hole Assembly
Peng Zou, Qiuguo Zhu, Jun Wu, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 7403-7410
Closed Access | Times Cited: 24
Learning, Improving, and Generalizing Motor Skills for the Peg-in-Hole Tasks Based on Imitation Learning and Self-Learning
Nam Jun Cho, Sang Hyoung Lee, Jong Bok Kim, et al.
Applied Sciences (2020) Vol. 10, Iss. 8, pp. 2719-2719
Open Access | Times Cited: 22
Passive Exercise Adaptation for Ankle Rehabilitation Based on Learning Control Framework
Fares J. Abu‐Dakka, A. Valera, Juan A. Escalera, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6215-6215
Open Access | Times Cited: 21
Robotic peg-in-hole assembly based on reversible dynamic movement primitives and trajectory optimization
Huan Zhao, Yuxiang Chen, Xiangfei Li, et al.
Mechatronics (2023) Vol. 95, pp. 103054-103054
Closed Access | Times Cited: 7
An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks
Yan Wang, Cristian C. Beltran-Hernandez, Weiwei Wan, et al.
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 12
Learning of assembly constraints by demonstration and active exploration
Aljaž Kramberger, Rok Piltaver, Bojan Nemec, et al.
Industrial Robot the international journal of robotics research and application (2016) Vol. 43, Iss. 5, pp. 524-534
Open Access | Times Cited: 18
A comparison of industrial robots interface: force guidance system and teach pendant operation
Guilherme Boulhosa Rodamilans, Emília Villani, Luı́s Gonzaga Trabasso, et al.
Industrial Robot the international journal of robotics research and application (2016) Vol. 43, Iss. 5, pp. 552-562
Closed Access | Times Cited: 18
A Review on Significant Technologies Related to the Robot-Guided Intelligent Bolt Assembly Under Complex or Uncertain Working Conditions
Jingjing Xu, Caixia Zhang, Zhifeng Liu, et al.
IEEE Access (2019) Vol. 7, pp. 136752-136776
Open Access | Times Cited: 18
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