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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.

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Showing 26-50 of 56 citing articles:

Immersive Demonstrations are the Key to Imitation Learning
Kelin Li, Digby Chappell, Nicolás Rojas
(2023)
Open Access | Times Cited: 3
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets
Maximilian Du, Suraj Nair, Dorsa Sadigh, et al.
(2023)
Open Access | Times Cited: 3
Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 5, pp. 2724-2731
Open Access | Times Cited: 2
Dynamical System-based Imitation Learning for Visual Servoing using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
(2023), pp. 755-761
Open Access | Times Cited: 2
AGPNet - Autonomous Grading Policy Network
Chana Ross, Yakov Miron, Yuval Goldfracht, et al.
(2022)
Open Access | Times Cited: 3
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
Alireza Barekatain, Hamed Habibi, Holger Voos
Robotics (2024) Vol. 13, Iss. 7, pp. 100-100
Open Access
Demonstration Quality-based Teleoperated Learning with Visual and Haptic Data in Bandwidth-Limited Environments
Diego Fernandez Prado, Prashanth Ramachandrareddy, Eckehard Steinbach
(2024), pp. 705-710
Closed Access
EA-CTFVS: An Environment-Agnostic Coarse-to-Fine Visual Servoing Method for Sub-Millimeter-Accurate Assembly
Yuxuan Bai, Mingshuai Dong, Shimin Wei, et al.
Actuators (2024) Vol. 13, Iss. 8, pp. 294-294
Open Access
Learning with Chemical versus Electrical Synapses Does it Make a Difference?
Mónika Farsang, Mathias Lechner, David Lung, et al.
(2024), pp. 15106-15112
Open Access
Enhancing robotics learning using imitation learning through visual-based behaviour cloning
Yagna Jadeja, Mahmoud Shafik, Paul Wood, et al.
MATEC Web of Conferences (2024) Vol. 401, pp. 12006-12006
Open Access
Expanding Ground Vehicle Autonomy into Unstructured, Off-Road Environments: Dataset Challenges
Stanton R. Price, Haley B. Land, Samantha S. Carley, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8410-8410
Open Access
Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting
Ekansh Sharma, Christoph Henke, Alex Mitrevski, et al.
(2023), pp. 1-7
Open Access | Times Cited: 1
Hybrid ICP
Kamil Dreczkowski, Edward Johns
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6801-6808
Closed Access | Times Cited: 2
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Raghad Alghonaim, Edward Johns
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Norman Di Palo, Edward Johns
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
P3O: Transferring Visual Representations for Reinforcement Learning via Prompting
Guoliang You, Xiaomeng Chu, Yifan Duan, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 2789-2794
Closed Access
An Anthropomorphic Framework for Learning-Based Visual Servoing to Reach Unseen Objects
Haolin Fei, Ziwei Wang, Stefano Tedeschi, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-6
Closed Access
From Temporal-Evolving to Spatial-Fixing: A Keypoints-Based Learning Paradigm for Visual Robotic Manipulation
Kévin Riou, Kaiwen Dong, Kévin Subrin, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023) Vol. 32, pp. 1728-1734
Open Access
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration
Alexandre Chenu, Olivier Serris, Olivier Sigaud, et al.
(2023)
Open Access
One-Shot Affordance Learning (OSAL): Learning to Manipulate Articulated Objects by Observing Once
Ruomeng Fan, Taohan Wang, Masahiro Hirano, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 2955-2962
Closed Access
Augmentation Enables One-Shot Generalization in Learning from Demonstration for Contact-Rich Manipulation
Xing Li, Manuel Baum, Oliver Brock
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 3656-3663
Closed Access
Self-Supervised Visual Motor Skills via Neural Radiance Fields
Paul Gesel, Noushad Sojib, Momotaz Begum
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 3712-3718
Closed Access
Reinforcement Learning for Developing an Intelligent Warehouse Environment
Van Luan Tran, Manh-Kha Kieu, Xuan-Hung Nguyen, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 11-20
Closed Access
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration
Alexandre Chenu, Olivier Serris, Olivier Sigaud, et al.
arXiv (Cornell University) (2022)
Open Access
Learn to Grasp Via Intention Discovery and Its Application to Challenging Clutter
Chao Zhao, Chunli Jiang, Junhao Cai, et al.
IEEE Robotics and Automation Letters (2022) Vol. 8, Iss. 2, pp. 488-495
Open Access

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