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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:

Online movement adaptation based on previous sensor experiences
Peter Pástor, Ludovic Righetti, Mrinal Kalakrishnan, et al.
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2011)
Closed Access | Times Cited: 224

Showing 1-25 of 224 citing articles:

Data-Driven Grasp Synthesis—A Survey
Jeannette Bohg, Antonio Morales, Tamim Asfour, et al.
IEEE Transactions on Robotics (2014) Vol. 30, Iss. 2, pp. 289-309
Open Access | Times Cited: 590
Leveraging big data for grasp planning
Daniel Kappler, Jeannette Bohg, Stefan Schaal
(2015), pp. 4304-4311
Closed Access | Times Cited: 274
Interactive Perception: Leveraging Action in Perception and Perception in Action
Jeannette Bohg, Karol Hausman, Bharath Sankaran, et al.
IEEE Transactions on Robotics (2017) Vol. 33, Iss. 6, pp. 1273-1291
Open Access | Times Cited: 266
Orientation in Cartesian space dynamic movement primitives
Aleš Ude, Bojan Nemec, Tadej Petrič, et al.
(2014)
Closed Access | Times Cited: 192
Using probabilistic movement primitives in robotics
Alexandros Paraschos, Christian Daniel, Jan Peters, et al.
Autonomous Robots (2017) Vol. 42, Iss. 3, pp. 529-551
Closed Access | Times Cited: 171
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
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
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
Learning grounded finite-state representations from unstructured demonstrations
Scott Niekum, Sarah Osentoski, George Konidaris, et al.
The International Journal of Robotics Research (2014) Vol. 34, Iss. 2, pp. 131-157
Open Access | Times Cited: 185
Adaptation of manipulation skills in physical contact with the environment to reference force profiles
Fares J. Abu‐Dakka, Bojan Nemec, Jimmy Alison Jørgensen, et al.
Autonomous Robots (2015) Vol. 39, Iss. 2, pp. 199-217
Closed Access | Times Cited: 135
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu, Chelsea Finn, Annie Xie, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 113
Use of tactile feedback to control exploratory movements to characterize object compliance
Zhe Su, Jeremy A. Fishel, Tomonori Yamamoto, et al.
Frontiers in Neurorobotics (2012) Vol. 6
Open Access | Times Cited: 107
Reaching in clutter with whole-arm tactile sensing
Advait Jain, Marc D. Killpack, Aaron Edsinger, et al.
The International Journal of Robotics Research (2013) Vol. 32, Iss. 4, pp. 458-482
Open Access | Times Cited: 105
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer, Scott Niekum, George Konidaris
arXiv (Cornell University) (2019)
Open Access | Times Cited: 80
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
Robotic Assembly of Timber Structures in a Human-Robot Collaboration Setup
Aljaž Kramberger, Anja Kunic, Iñigo Iturrate, et al.
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 43
Towards Associative Skill Memories
Peter Pástor, Mrinal Kalakrishnan, Ludovic Righetti, et al.
(2012)
Closed Access | Times Cited: 98
Incremental Semantically Grounded Learning from Demonstration
Scott Niekum, Sachin Chitta, Andrew G. Barto, et al.
(2013)
Open Access | Times Cited: 94
Pose estimation for planar contact manipulation with manifold particle filters
Michael C. Koval, Nancy S. Pollard, Siddhartha S Srinivasa
The International Journal of Robotics Research (2015) Vol. 34, Iss. 7, pp. 922-945
Open Access | Times Cited: 82
An autonomous manipulation system based on force control and optimization
Ludovic Righetti, Mrinal Kalakrishnan, Peter Pástor, et al.
Autonomous Robots (2013) Vol. 36, Iss. 1-2, pp. 11-30
Closed Access | Times Cited: 82
Probabilistic object tracking using a range camera
Manuel Wüthrich, Peter Pástor, Mrinal Kalakrishnan, et al.
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2013), pp. 3195-3202
Open Access | Times Cited: 77
Acquiring visual servoing reaching and grasping skills using neural reinforcement learning
Thomas Lampe, Martin Riedmiller
2022 International Joint Conference on Neural Networks (IJCNN) (2013), pp. 1-8
Open Access | Times Cited: 71
Learning task-parameterized dynamic movement primitives using mixture of GMMs
Affan Pervez, Dongheui Lee
Intelligent Service Robotics (2017) Vol. 11, Iss. 1, pp. 61-78
Closed Access | Times Cited: 71
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: 68
Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems
João Silvério, Leonel Rozo, Sylvain Calinon, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015)
Closed Access | Times Cited: 66
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