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:
Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
Jens Lundell, Enric Corona, Tran Nguyen Le, et al.
(2021)
Open Access | Times Cited: 33
Jens Lundell, Enric Corona, Tran Nguyen Le, et al.
(2021)
Open Access | Times Cited: 33
Showing 1-25 of 33 citing articles:
Deep Learning Approaches to Grasp Synthesis: A Review
R. Newbury, Morris Gu, Lachlan Chumbley, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 3994-4015
Open Access | Times Cited: 92
R. Newbury, Morris Gu, Lachlan Chumbley, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 3994-4015
Open Access | Times Cited: 92
DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen, et al.
(2023), pp. 11359-11366
Open Access | Times Cited: 31
Ruicheng Wang, Jialiang Zhang, Jiayi Chen, et al.
(2023), pp. 11359-11366
Open Access | Times Cited: 31
GenDexGrasp: Generalizable Dexterous Grasping
Puhao Li, Tengyu Liu, Yuyang Li, et al.
(2023)
Open Access | Times Cited: 23
Puhao Li, Tengyu Liu, Yuyang Li, et al.
(2023)
Open Access | Times Cited: 23
Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands
Dylan Turpin, Liquan Wang, Eric Heiden, et al.
Lecture notes in computer science (2022), pp. 201-221
Closed Access | Times Cited: 30
Dylan Turpin, Liquan Wang, Eric Heiden, et al.
Lecture notes in computer science (2022), pp. 201-221
Closed Access | Times Cited: 30
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
Wei Wei, Daheng Li, Peng Wang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 1659-1666
Open Access | Times Cited: 29
Wei Wei, Daheng Li, Peng Wang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 1659-1666
Open Access | Times Cited: 29
Grasp Multiple Objects With One Hand
Yuyang Li, Bo Liu, Yiran Geng, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4027-4034
Open Access | Times Cited: 6
Yuyang Li, Bo Liu, Yiran Geng, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4027-4034
Open Access | Times Cited: 6
DDGC: Generative Deep Dexterous Grasping in Clutter
Jens Lundell, Francesco Verdoja, Ville Kyrki
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 6899-6906
Open Access | Times Cited: 37
Jens Lundell, Francesco Verdoja, Ville Kyrki
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 6899-6906
Open Access | Times Cited: 37
Perspective Chapter: Advanced Environment Modelling Techniques for Mobile Manipulators
Noelia Fernandez, Gonzalo Espinoza, Alberto Méndez, et al.
IntechOpen eBooks (2025)
Closed Access
Noelia Fernandez, Gonzalo Espinoza, Alberto Méndez, et al.
IntechOpen eBooks (2025)
Closed Access
Learning Human-like Functional Grasping for Multi-finger Hands from Few Demonstrations
Wei Wei, Peng Wang, Sizhe Wang, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3897-3916
Closed Access | Times Cited: 4
Wei Wei, Peng Wang, Sizhe Wang, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3897-3916
Closed Access | Times Cited: 4
EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-Fingered Robot Hands
Kelin Li, Nicholas Baron, Xian Zhang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 8619-8626
Open Access | Times Cited: 18
Kelin Li, Nicholas Baron, Xian Zhang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 8619-8626
Open Access | Times Cited: 18
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch
Martin Matak, Tucker Hermans
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 768-775
Open Access | Times Cited: 10
Martin Matak, Tucker Hermans
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 768-775
Open Access | Times Cited: 10
Toward Human-in-the-Loop Shared Control for Upper-Limb Prostheses: A Systematic Analysis of State-of-the-Art Technologies
Weichao Guo, Wei Xu, Yanchao Zhao, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 3, pp. 563-579
Closed Access | Times Cited: 9
Weichao Guo, Wei Xu, Yanchao Zhao, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 3, pp. 563-579
Closed Access | Times Cited: 9
UGG: Unified Generative Grasping
Jiaxin Lu, Hao Kang, Haoxiang Li, et al.
Lecture notes in computer science (2024), pp. 414-433
Closed Access | Times Cited: 3
Jiaxin Lu, Hao Kang, Haoxiang Li, et al.
Lecture notes in computer science (2024), pp. 414-433
Closed Access | Times Cited: 3
Learning a Contact Potential Field for Modeling the Hand-Object Interaction
Lixin Yang, Xinyu Zhan, Kailin Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5645-5662
Closed Access | Times Cited: 2
Lixin Yang, Xinyu Zhan, Kailin Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5645-5662
Closed Access | Times Cited: 2
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
Dylan Turpin, Tao Zhong, Shutong Zhang, et al.
(2023)
Open Access | Times Cited: 6
Dylan Turpin, Tao Zhong, Shutong Zhang, et al.
(2023)
Open Access | Times Cited: 6
FFHNet: Generating Multi-Fingered Robotic Grasps for Unknown Objects in Real-time
Vincent Mayer, Qian Feng, Jun Deng, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 762-769
Open Access | Times Cited: 10
Vincent Mayer, Qian Feng, Jun Deng, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 762-769
Open Access | Times Cited: 10
HGC-Net: Deep Anthropomorphic Hand Grasping in Clutter
Yiming Li, Wei Wei, Daheng Li, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 714-720
Closed Access | Times Cited: 10
Yiming Li, Wei Wei, Daheng Li, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 714-720
Closed Access | Times Cited: 10
Fast Force-Closure Grasp Synthesis With Learning-Based Sampling
Wei Xu, Weichao Guo, Xu Shi, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 7, pp. 4275-4282
Closed Access | Times Cited: 5
Wei Xu, Weichao Guo, Xu Shi, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 7, pp. 4275-4282
Closed Access | Times Cited: 5
Transferring Grasping Across Grippers: Learning-Optimization Hybrid Framework for Generalized Planar Grasp Generation
Xianli Wang, Qingsong Xu
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3388-3405
Closed Access | Times Cited: 1
Xianli Wang, Qingsong Xu
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3388-3405
Closed Access | Times Cited: 1
Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, et al.
(2024), pp. 1893-1899
Closed Access | Times Cited: 1
Haonan Duan, Yiming Li, Daheng Li, et al.
(2024), pp. 1893-1899
Closed Access | Times Cited: 1
A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand
Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 4757-4764
Open Access | Times Cited: 6
Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 4757-4764
Open Access | Times Cited: 6
Hand-object information embedded dexterous grasping generation
Shuyang Ren, Yibiao Zhang, Jinglue Hang, et al.
Pattern Recognition Letters (2023) Vol. 174, pp. 130-136
Closed Access | Times Cited: 3
Shuyang Ren, Yibiao Zhang, Jinglue Hang, et al.
Pattern Recognition Letters (2023) Vol. 174, pp. 130-136
Closed Access | Times Cited: 3
Constrained Generative Sampling of 6-DoF Grasps
Jens Lundell, Francesco Verdoja, Tran Nguyen Le, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 2940-2946
Open Access | Times Cited: 2
Jens Lundell, Francesco Verdoja, Tran Nguyen Le, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 2940-2946
Open Access | Times Cited: 2
Dexterous Object Manipulation with an Anthropomorphic Robot Hand via Natural Hand Pose Transformer and Deep Reinforcement Learning
Patricio Rivera, Ji-Heon Oh, Jin Gyun Jeong, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 379-379
Open Access | Times Cited: 3
Patricio Rivera, Ji-Heon Oh, Jin Gyun Jeong, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 379-379
Open Access | Times Cited: 3
An Efficient Network for Target-oriented Robot Grasping Pose Generation in Clutter
Tong Li, Jing An, Kai Yang, et al.
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (2022)
Closed Access | Times Cited: 3
Tong Li, Jing An, Kai Yang, et al.
2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (2022)
Closed Access | Times Cited: 3
