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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:

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning
Yevgen Chebotar, Karol Hausman, Zhe Su, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 1960-1966
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A Review of Tactile Information: Perception and Action Through Touch
Qiang Li, Oliver Kroemer, Zhe Su, et al.
IEEE Transactions on Robotics (2020) Vol. 36, Iss. 6, pp. 1619-1634
Open Access | Times Cited: 204
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch
Roberto Calandra, Andrew Owens, Dinesh Jayaraman, et al.
IEEE Robotics and Automation Letters (2018) Vol. 3, Iss. 4, pp. 3300-3307
Open Access | Times Cited: 157
Path integral guided policy search
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Abdullah Yahya, et al.
(2017), pp. 3381-3388
Open Access | Times Cited: 136
Flexible tactile sensor array for distributed tactile sensing and slip detection in robotic hand grasping
Yancheng Wang, Xin Wu, Deqing Mei, et al.
Sensors and Actuators A Physical (2019) Vol. 297, pp. 111512-111512
Closed Access | Times Cited: 107
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
Francois R. Hogan, Maria Bauzá, Oleguer Canal, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018), pp. 2963-2970
Open Access | Times Cited: 93
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation
Chen Wang, Shaoxiong Wang, Branden Romero, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 5633-5640
Open Access | Times Cited: 80
Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization
Zhen Deng, Yannick Jonetzko, Liwei Zhang, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 1050-1050
Open Access | Times Cited: 59
Robust Learning of Tactile Force Estimation through Robot Interaction
Balakumar Sundaralingam, Alexander Lambert, Ankur Handa, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 9035-9042
Closed Access | Times Cited: 57
Progress and Prospects of Multimodal Fusion Methods in Physical Human–Robot Interaction: A Review
Teng Xue, Weiming Wang, Jin Ma, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 18, pp. 10355-10370
Closed Access | Times Cited: 48
Grasp stability assessment through the fusion of proprioception and tactile signals using convolutional neural networks
Jennifer Kwiatkowski, Deen Cockburn, Vincent Duchaine
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017), pp. 286-292
Closed Access | Times Cited: 46
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception
Shaowei Cui, Rui Wang, Junhang Wei, et al.
(2020), pp. 538-544
Open Access | Times Cited: 35
A Sense of Touch for the Shadow Modular Grasper
Nicholas Pestell, Luke Cramphorn, Fotios Papadopoulos, et al.
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 2, pp. 2220-2226
Open Access | Times Cited: 32
Edge-Dependent Efficient Grasp Rectangle Search in Robotic Grasp Detection
Lu Chen, Panfeng Huang, Yuanhao Li, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 26, Iss. 6, pp. 2922-2931
Open Access | Times Cited: 31
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
Alex Church, John W. Lloyd, Raia Hadsell, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 4, pp. 6145-6152
Open Access | Times Cited: 30
Multifingered Grasping Based on Multimodal Reinforcement Learning
Hongzhuo Liang, Cong Lin, Norman Hendrich, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 2, pp. 1174-1181
Open Access | Times Cited: 24
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
(2024), pp. 8013-8020
Open Access | Times Cited: 3
Multimodal grasp data set: A novel visual–tactile data set for robotic manipulation
Wang Tao, Chao Yang, Frank Kirchner, et al.
International Journal of Advanced Robotic Systems (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 25
Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand
Satoshi Funabashi, Gang Yan, Andreas Geier, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Closed Access | Times Cited: 24
Learning to Grasp Without Seeing
Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, et al.
Springer proceedings in advanced robotics (2020), pp. 375-386
Closed Access | Times Cited: 21
Haptic Search With the Smart Suction Cup on Adversarial Objects
Jungpyo Lee, Sebastian Lee, Tae Myung Huh, et al.
IEEE Transactions on Robotics (2023) Vol. 40, pp. 226-239
Open Access | Times Cited: 7
Contact localization on grasped objects using tactile sensing
Artem Molchanov, Oliver Kroemer, Zhe Su, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 216-222
Closed Access | Times Cited: 22
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction
Andreas Eitel, Nico Hauff, Wolfram Burgard
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 4020-4026
Open Access | Times Cited: 21
Object Recognition, Dynamic Contact Simulation, Detection, and Control of the Flexible Musculoskeletal Hand Using a Recurrent Neural Network With Parametric Bias
Kento Kawaharazuka, Kei Tsuzuki, Moritaka Onitsuka, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 3, pp. 4580-4587
Open Access | Times Cited: 19
Batch Exploration With Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen, Hyunji Alex Nam, Suraj Nair, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 4401-4408
Open Access | Times Cited: 17
A tactile sensor based on piezoresistive effect and electromagnetic induction
Yuming Mo, Haijun Han, Yan Liu, et al.
Sensors and Actuators A Physical (2022) Vol. 344, pp. 113716-113716
Closed Access | Times Cited: 12
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