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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:

Dexterous grasping under shape uncertainty
Miao Li, Kaiyu Hang, Danica Kragić, et al.
Robotics and Autonomous Systems (2015) Vol. 75, pp. 352-364
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Robots with a sense of touch
Chiara Bartolozzi, Lorenzo Natale, Francesco Nori, et al.
Nature Materials (2016) Vol. 15, Iss. 9, pp. 921-925
Closed Access | Times Cited: 252
Interactive, Collaborative Robots: Challenges and Opportunities
Danica Kragić, Joakim Gustafson, Hakan Karaoğuz, et al.
(2018), pp. 18-25
Open Access | Times Cited: 98
Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations
Xinchen Yan, Jasmined Hsu, Mohammad Khansari, et al.
(2018), pp. 3766-3773
Open Access | Times Cited: 98
Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects
Chih-Hsing Liu, Ta-Lun Chen, Chen-Hua Chiu, et al.
Soft Robotics (2018) Vol. 5, Iss. 4, pp. 452-465
Closed Access | Times Cited: 96
Active Haptic Perception in Robots: A Review
Lucia Seminara, Paolo Gastaldo, Simon J. Watt, et al.
Frontiers in Neurorobotics (2019) Vol. 13
Open Access | Times Cited: 61
A Robot Grasping System With Single-Stage Anchor-Free Deep Grasp Detector
Hu Cheng, Yingying Wang, Max Q.‐H. Meng
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 32
Fast geometry-based computation of grasping points on three-dimensional point clouds
Brayan S. Zapata-Impata, Pablo Gil, Jorge Pomares, et al.
International Journal of Advanced Robotic Systems (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 45
Tactile SLAM: Real-time inference of shape and pose from planar pushing
Sudharshan Suresh, Maria Bauzá, Kuan‐Ting Yu, et al.
(2021), pp. 11322-11328
Open Access | Times Cited: 36
Multi-contact haptic exploration and grasping with tactile sensors
Nicolas Le Sommer, Aude Billard
Robotics and Autonomous Systems (2016) Vol. 85, pp. 48-61
Open Access | Times Cited: 44
A Dynamical System Approach to Motion and Force Generation in Contact Tasks
Walid Amanhoud, Mahdi Khoramshahi, Aude Billard
(2019)
Open Access | Times Cited: 41
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
Learning better generative models for dexterous, single-view grasping of novel objects
Marek Kopicki, Dominik Belter, Jeremy Wyatt
The International Journal of Robotics Research (2019) Vol. 38, Iss. 10-11, pp. 1246-1267
Open Access | Times Cited: 31
Robust Grasp Planning Over Uncertain Shape Completions
Jens Lundell, Francesco Verdoja, Ville Kyrki
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 1526-1532
Open Access | Times Cited: 30
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands
Lin Shao, Fábio Ferreira, Mikael Jorda, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2286-2293
Open Access | Times Cited: 29
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
Deep Learning Reactive Robotic Grasping With a Versatile Vacuum Gripper
Hui Zhang, Jef Peeters, Eric Demeester, et al.
IEEE Transactions on Robotics (2022) Vol. 39, Iss. 2, pp. 1244-1259
Open Access | Times Cited: 17
Grasping Living Objects With Adversarial Behaviors Using Inverse Reinforcement Learning
Zhe Hu, Y. Zheng, Jia Pan
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 2, pp. 1151-1163
Closed Access | Times Cited: 9
Optimal design of a soft robotic gripper with high mechanical advantage for grasping irregular objects
Chih-Hsing Liu, Chen-Hua Chiu
(2017), pp. 2846-2851
Closed Access | Times Cited: 30
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan, Mohi Khansari, Jasmine Hsu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 28
Accounting for Part Pose Estimation Uncertainties during Trajectory Generation for Part Pick-Up Using Mobile Manipulators
Shantanu Thakar, Pradeep Rajendran, Vivek Annem, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019) Vol. 2, pp. 1329-1336
Closed Access | Times Cited: 28
A Novel Simple, Adaptive, and Versatile Soft-Robotic Compliant Two-Finger Gripper With an Inherently Gentle Touch
Andrija Milojević, Sebastian Linß, Žarko Ćojbašić, et al.
Journal of Mechanisms and Robotics (2020) Vol. 13, Iss. 1
Open Access | Times Cited: 24
Active Visuo-Haptic Object Shape Completion
Lukáš Rustler, Jens Lundell, Jan Kristof Behrens, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5254-5261
Open Access | Times Cited: 14
Local implicit surface estimation for haptic exploration
Simon Ottenhaus, Martin Miller, David Schiebener, et al.
(2016) Vol. 1, pp. 850-856
Closed Access | Times Cited: 25
Learning Robotic Grasping Strategy Based on Natural-Language Object Descriptions
Achyutha Bharath Rao, Krishna Krishnan, Hongsheng He
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018), pp. 882-887
Open Access | Times Cited: 23
Bioinspired Embodiment for Intelligent Sensing and Dexterity in Fine Manipulation: A Survey
Yueyue Liu, Zhijun Li, Huaping Liu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 16, Iss. 7, pp. 4308-4321
Closed Access | Times Cited: 18
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