Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Learning robust, real-time, reactive robotic grasping
Douglas Morrison, Peter Corke, Jürgen Leitner
The International Journal of Robotics Research (2019) Vol. 39, Iss. 2-3, pp. 183-201
Open Access | Times Cited: 335

Showing 1-25 of 335 citing articles:

Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network
Sulabh Kumra, Shirin Joshi, Ferat Sahin
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Open Access | Times Cited: 267
A Survey on Learning-Based Robotic Grasping
Kilian Kleeberger, Richard Bormann, Werner Kraus, et al.
Current Robotics Reports (2020) Vol. 1, Iss. 4, pp. 239-249
Open Access | Times Cited: 208
Bird-inspired dynamic grasping and perching in arboreal environments
William R. T. Roderick, Mark R. Cutkosky, David Lentink
Science Robotics (2021) Vol. 6, Iss. 61
Open Access | Times Cited: 136
Object Handovers: A Review for Robotics
Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi, et al.
IEEE Transactions on Robotics (2021) Vol. 37, Iss. 6, pp. 1855-1873
Open Access | Times Cited: 122
A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments
Mengwei Liu, Yujia Zhang, Jiachuang Wang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 115
SE-ResUNet: A Novel Robotic Grasp Detection Method
Sheng Yu, Di‐Hua Zhai, Yuanqing Xia, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5238-5245
Closed Access | Times Cited: 75
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
Hao-Shu Fang, Chenxi Wang, Hongjie Fang, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 3929-3945
Open Access | Times Cited: 46
EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation
Douglas Morrison, Peter Corke, Jürgen Leitner
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 3, pp. 4368-4375
Open Access | Times Cited: 89
Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua
IEEE Access (2020) Vol. 8, pp. 178450-178481
Open Access | Times Cited: 81
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg, Niko Sünderhauf, Feras Dayoub, et al.
Foundations and Trends in Robotics (2020) Vol. 8, Iss. 1–2, pp. 1-224
Open Access | Times Cited: 79
Toward next-generation learned robot manipulation
Jinda Cui, Jeff Trinkle
Science Robotics (2021) Vol. 6, Iss. 54
Closed Access | Times Cited: 57
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
Shaochen Wang, Zhangli Zhou, Zhen Kan
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 8170-8177
Open Access | Times Cited: 57
Grasping Pose Detection for Loose Stacked Object Based on Convolutional Neural Network With Multiple Self-Powered Sensors Information
Juntong Yun, Du Jiang, Ying Sun, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 18, pp. 20619-20632
Closed Access | Times Cited: 47
Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
Hongkun Tian, Kechen Song, Song Li, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118624-118624
Closed Access | Times Cited: 40
ADG-Net: A Sim2Real Multimodal Learning Framework for Adaptive Dexterous Grasping
Hui Zhang, Jianzhi Lyu, Chuangchuang Zhou, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 2, pp. 840-853
Closed Access | Times Cited: 1
Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation
Eduardo G. Ribeiro, Raul de Queiroz Mendes, Valdir Grassi
Robotics and Autonomous Systems (2021) Vol. 139, pp. 103757-103757
Open Access | Times Cited: 54
High-Performance Pixel-Level Grasp Detection Based on Adaptive Grasping and Grasp-Aware Network
Dexin Wang, Chunsheng Liu, Faliang Chang, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 11, pp. 11611-11621
Closed Access | Times Cited: 45
Object Rearrangement Using Learned Implicit Collision Functions
Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, et al.
(2021), pp. 6010-6017
Open Access | Times Cited: 41
Efficient Grasp Detection Network With Gaussian-Based Grasp Representation for Robotic Manipulation
Hu Cao, Guang Chen, Zhijun Li, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 3, pp. 1384-1394
Closed Access | Times Cited: 33
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
A Vision-Based Robot Grasping System
Hu Cheng, Yingying Wang, Max Q.‐H. Meng
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9610-9620
Closed Access | Times Cited: 31
Visual–Tactile Fusion for Transparent Object Grasping in Complex Backgrounds
Shoujie Li, Haixin Yu, Wenbo Ding, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 3838-3856
Open Access | Times Cited: 18
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation
Xiaoshuai Zhang, Rui Chen, Ang Li, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 2429-2447
Open Access | Times Cited: 16
Vision-Based Robotic Object Grasping—A Deep Reinforcement Learning Approach
Yaling Chen, Yan-Rou Cai, Ming-Yang Cheng
Machines (2023) Vol. 11, Iss. 2, pp. 275-275
Open Access | Times Cited: 16
A semantic robotic grasping framework based on multi-task learning in stacking scenes
Shengqi Duan, Guohui Tian, Zhongli Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106059-106059
Closed Access | Times Cited: 16
Page 1 - Next Page

Scroll to top