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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:

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
Zhe Su, Karol Hausman, Yevgen Chebotar, et al.
(2015), pp. 297-303
Closed Access | Times Cited: 203

Showing 1-25 of 203 citing articles:

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8943-8950
Open Access | Times Cited: 308
Improved GelSight tactile sensor for measuring geometry and slip
Siyuan Dong, Wenzhen Yuan, Edward H. Adelson
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017), pp. 137-144
Open Access | Times Cited: 213
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
Tactile Sensors for Friction Estimation and Incipient Slip Detection—Toward Dexterous Robotic Manipulation: A Review
Wei Chen, Heba Khamis, Ingvars Birznieks, et al.
IEEE Sensors Journal (2018) Vol. 18, Iss. 22, pp. 9049-9064
Open Access | Times Cited: 178
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Peter Zachares, et al.
IEEE Transactions on Robotics (2020) Vol. 36, Iss. 3, pp. 582-596
Open Access | Times Cited: 161
Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?
Akihiko Yamaguchi, Christopher G. Atkeson
Advanced Robotics (2019) Vol. 33, Iss. 14, pp. 661-673
Closed Access | Times Cited: 116
Implementing tactile behaviors using FingerVision
Akihiko Yamaguchi, Christopher G. Atkeson
(2017)
Closed Access | Times Cited: 92
OmniTact: A Multi-Directional High-Resolution Touch Sensor
Akhil Padmanabha, Frederik Ebert, Stephen Tian, et al.
(2020)
Open Access | Times Cited: 90
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov, Weicong Sng, Brian Y. Lim, et al.
(2020)
Open Access | Times Cited: 88
Slip Detection for Grasp Stabilization With a Multifingered Tactile Robot Hand
Jasper W. James, Nathan F. Lepora
IEEE Transactions on Robotics (2020) Vol. 37, Iss. 2, pp. 506-519
Closed Access | Times Cited: 87
Flexible Multimodal Sensors for Electronic Skin: Principle, Materials, Device, Array Architecture, and Data Acquisition Method
Sanghun Jeon, Soo‐Chul Lim, Tran Quang Trung, et al.
Proceedings of the IEEE (2019) Vol. 107, Iss. 10, pp. 2065-2083
Closed Access | Times Cited: 85
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
Methods and Sensors for Slip Detection in Robotics: A Survey
Rocco Antonio Romeo, Loredana Zollo
IEEE Access (2020) Vol. 8, pp. 73027-73050
Open Access | Times Cited: 72
Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks
Tess Hellebrekers, Nadine Chang, Keene Chin, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 3, pp. 3892-3898
Open Access | Times Cited: 70
Complex In-Hand Manipulation Via Compliance-Enabled Finger Gaiting and Multi-Modal Planning
Andrew S. Morgan, Kaiyu Hang, Bowen Wen, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4821-4828
Open Access | Times Cited: 38
Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation
Willow Mandil, Vishnu Rajendran, Kiyanoush Nazari, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7362-7362
Open Access | Times Cited: 25
Learning Spatio Temporal Tactile Features with a ConvLSTM for the Direction Of Slip Detection
Brayan S. Zapata-Impata, Pablo Gil, Fernando Torres
Sensors (2019) Vol. 19, Iss. 3, pp. 523-523
Open Access | Times Cited: 74
Tactile-based manipulation of deformable objects with dynamic center of mass
Mohsen Kaboli, Kunpeng Yao, Gordon Cheng
(2016)
Open Access | Times Cited: 73
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
Bioinspired flexible microfluidic shear force sensor skin
Jianzhu Yin, Veronica J. Santos, Jonathan D. Posner
Sensors and Actuators A Physical (2017) Vol. 264, pp. 289-297
Open Access | Times Cited: 68
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
Tactile Behaviors with the Vision-Based Tactile Sensor FingerVision
Akihiko Yamaguchi, Christopher G. Atkeson
International Journal of Humanoid Robotics (2019) Vol. 16, Iss. 03, pp. 1940002-1940002
Closed Access | Times Cited: 54
A Soft Gripper Design for Apple Harvesting with Force Feedback and Fruit Slip Detection
Kaiwen Chen, Tao Li, Tongjie Yan, et al.
Agriculture (2022) Vol. 12, Iss. 11, pp. 1802-1802
Open Access | Times Cited: 34
Learning where to search using visual attention
Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 5238-5245
Closed Access | Times Cited: 59
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