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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:

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation
Freek Stulp, Evangelos A. Theodorou, Stefan Schaal
IEEE Transactions on Robotics (2012) Vol. 28, Iss. 6, pp. 1360-1370
Closed Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

Optimal and Autonomous Control Using Reinforcement Learning: A Survey
Bahare Kiumarsi, Kyriakos G. Vamvoudakis, Hamidreza Modares, et al.
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 6, pp. 2042-2062
Open Access | Times Cited: 704
Robot Learning System Based on Adaptive Neural Control and Dynamic Movement Primitives
Chenguang Yang, Chuize Chen, Wei He, et al.
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 30, Iss. 3, pp. 777-787
Open Access | Times Cited: 293
Many regression algorithms, one unified model: A review
Freek Stulp, Olivier Sigaud
Neural Networks (2015) Vol. 69, pp. 60-79
Open Access | Times Cited: 185
On the guidance, navigation and control of in-orbit space robotic missions: A survey and prospective vision
Borna Monazzah Moghaddam, Robin Chhabra
Acta Astronautica (2021) Vol. 184, pp. 70-100
Closed Access | Times Cited: 123
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
Coupling Movement Primitives: Interaction With the Environment and Bimanual Tasks
Andrej Gams, Bojan Nemec, Auke Jan Ijspeert, et al.
IEEE Transactions on Robotics (2014) Vol. 30, Iss. 4, pp. 816-830
Open Access | Times Cited: 186
Reinforcement Learning of Manipulation and Grasping Using Dynamical Movement Primitives for a Humanoidlike Mobile Manipulator
Zhijun Li, Ting Zhao, Fei Chen, et al.
IEEE/ASME Transactions on Mechatronics (2017) Vol. 23, Iss. 1, pp. 121-131
Closed Access | Times Cited: 168
Path integral guided policy search
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Abdullah Yahya, et al.
(2017), pp. 3381-3388
Open Access | Times Cited: 136
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
Robot Skill Learning: From Reinforcement Learning to Evolution Strategies
Freek Stulp, Olivier Sigaud
Paladyn Journal of Behavioral Robotics (2013) Vol. 4, Iss. 1
Open Access | Times Cited: 123
Towards learning hierarchical skills for multi-phase manipulation tasks
Oliver Kroemer, Christian Daniel, Gerhard Neumann, et al.
(2015)
Open Access | Times Cited: 111
Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning
Libin Liu, Jessica K. Hodgins
ACM Transactions on Graphics (2017) Vol. 36, Iss. 4, pp. 1-1
Closed Access | Times Cited: 87
Skill transfer learning for autonomous robots and human–robot cooperation: A survey
Yueyue Liu, Zhijun Li, Huaping Liu, et al.
Robotics and Autonomous Systems (2020) Vol. 128, pp. 103515-103515
Closed Access | Times Cited: 78
A review on manipulation skill acquisition through teleoperation‐based learning from demonstration
Weiyong Si, Ning Wang, Chenguang Yang
Cognitive Computation and Systems (2021) Vol. 3, Iss. 1, pp. 1-16
Open Access | Times Cited: 62
Robot Policy Improvement With Natural Evolution Strategies for Stable Nonlinear Dynamical System
Yingbai Hu, Guang Chen, Zhijun Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 4002-4014
Open Access | Times Cited: 39
GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning
Vieri Giuliano Santucci, Gianluca Baldassarre, Marco Mirolli
IEEE Transactions on Cognitive and Developmental Systems (2016) Vol. 8, Iss. 3, pp. 214-231
Closed Access | Times Cited: 85
Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation with Motionese
Emre Uğur, Yukie Nagai, Erol Şahi̇n, et al.
IEEE Transactions on Autonomous Mental Development (2015) Vol. 7, Iss. 2, pp. 119-139
Open Access | Times Cited: 74
Learning inverse kinematics and dynamics of a robotic manipulator using generative adversarial networks
Hailin Ren, Pinhas Ben‐Tzvi
Robotics and Autonomous Systems (2019) Vol. 124, pp. 103386-103386
Closed Access | Times Cited: 70
DMP-Based Motion Generation for a Walking Exoskeleton Robot Using Reinforcement Learning
Yuxia Yuan, Zhijun Li, Ting Zhao, et al.
IEEE Transactions on Industrial Electronics (2019) Vol. 67, Iss. 5, pp. 3830-3839
Closed Access | Times Cited: 69
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura Smith, Nikita Dhawan, Marvin Zhang, et al.
(2020)
Open Access | Times Cited: 64
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, et al.
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 60
Evolution Strategies Learning With Variable Impedance Control for Grasping Under Uncertainty
Yingbai Hu, Xinyu Wu, Peng Geng, et al.
IEEE Transactions on Industrial Electronics (2018) Vol. 66, Iss. 10, pp. 7788-7799
Closed Access | Times Cited: 59
Nonlinear Model Predictive Control for Mobile Medical Robot Using Neural Optimization
Yingbai Hu, Hang Su, Junling Fu, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 12, pp. 12636-12645
Open Access | Times Cited: 51
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
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation
Todor Davchev, Kevin Sebastian Luck, Michael Burke, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4488-4495
Open Access | Times Cited: 28
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