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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:

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 112

Showing 26-50 of 112 citing articles:

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
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
Justin Lin, Roberto Calandra, Sergey Levine
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 3644-3650
Open Access | Times Cited: 45
Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes
Shaowei Cui, Rui Wang, Junhang Wei, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 4, pp. 5827-5834
Closed Access | Times Cited: 44
On the Design and Development of Vision-based Tactile Sensors
Umer Hameed Shah, Rajkumar Muthusamy, Dongming Gan, et al.
Journal of Intelligent & Robotic Systems (2021) Vol. 102, Iss. 4
Closed Access | Times Cited: 35
Binding Touch to Everything: Learning Unified Multimodal Tactile Representations
Fengyu Yang, Chao Feng, Ziyang Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 26330-26343
Closed Access | Times Cited: 4
Leveraging Contact Forces for Learning to Grasp
Hamza Merzic, Miroslav Bogdanović, Daniel Kappler, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 37
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
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
Soft Biomimetic Optical Tactile Sensing with the TacTip: A Review
Nathan F. Lepora
(2021)
Open Access | Times Cited: 24
Improving Grasp Stability with Rotation Measurement from Tactile Sensing
Raj Kolamuri, Zilin Si, Yufan Zhang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6809-6816
Open Access | Times Cited: 23
Detection of Slip from Vision and Touch
Gang Yan, Alexander Schmitz, Tito Pradhono Tomo, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 3537-3543
Closed Access | Times Cited: 17
FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback
Jialiang Zhao, Maria Bauzá, Edward H. Adelson
(2023)
Open Access | Times Cited: 10
Fast Model-Based Contact Patch and Pose Estimation for Highly Deformable Dense-Geometry Tactile Sensors
Naveen Kuppuswamy, Alejandro Castro, Calder Phillips-Grafflin, et al.
IEEE Robotics and Automation Letters (2019) Vol. 5, Iss. 2, pp. 1811-1818
Open Access | Times Cited: 28
Predicting Grasp Success with a Soft Sensing Skin and Shape-Memory Actuated Gripper
Julian Zimmer, Tess Hellebrekers, Tamim Asfour, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 7120-7127
Closed Access | Times Cited: 27
Visual-Tactile Cross-Modal Data Generation Using Residue-Fusion GAN With Feature-Matching and Perceptual Losses
Shaoyu Cai, Kening Zhu, Yuki Ban, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 7525-7532
Open Access | Times Cited: 22
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
Ruohan Gao, Yen‐Yu Chang, Shivani Mall, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 22
REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning
Brian Yang, Dinesh Jayaraman, Jesse Zhang, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8691-8697
Closed Access | Times Cited: 23
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
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Fotios Lygerakis, Vedant Dave, Elmar Rueckert
(2024), pp. 490-497
Open Access | Times Cited: 2
Tactile-Driven Grasp Stability and Slip Prediction
Brayan S. Zapata-Impata, Pablo Gil, Fernando Torres
Robotics (2019) Vol. 8, Iss. 4, pp. 85-85
Open Access | Times Cited: 20
Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor
Pietro Griffa, Carmelo Sferrazza, Raffaello D’Andrea
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 4826-4832
Open Access | Times Cited: 12
A Robotic Grasping State Perception Framework With Multi-Phase Tactile Information and Ensemble Learning
Gang Yan, Alexander Schmitz, Satoshi Funabashi, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 6822-6829
Closed Access | Times Cited: 11
VITO-Transformer: A Visual-Tactile Fusion Network for Object Recognition
Baojiang Li, Jibo Bai, Shengjie Qiu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 6
Generation of Tactile Data From 3D Vision and Target Robotic Grasps
Brayan S. Zapata-Impata, Pablo Gil, Youcef Mezouar, et al.
IEEE Transactions on Haptics (2020) Vol. 14, Iss. 1, pp. 57-67
Open Access | Times Cited: 16
Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors
Qian Feng, Zhaopeng Chen, Jun Deng, et al.
(2020), pp. 610-617
Open Access | Times Cited: 16

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