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 task-oriented grasping for tool manipulation from simulated self-supervision
Kuan Fang, Yuke Zhu, Animesh Garg, et al.
The International Journal of Robotics Research (2019) Vol. 39, Iss. 2-3, pp. 202-216
Open Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
Hao-Shu Fang, Chenxi Wang, Minghao Gou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 11441-11450
Closed Access | Times Cited: 332
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Kai Meng, Guiyin Xu, Xianghui Peng, et al.
Resources Conservation and Recycling (2022) Vol. 182, pp. 106207-106207
Closed Access | Times Cited: 100
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
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, et al.
(2021)
Open Access | Times Cited: 80
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
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 59
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
Bowen Wen, Wenzhao Lian, Kostas E. Bekris, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 6401-6408
Closed Access | Times Cited: 46
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
Lixin Yang, Kailin Li, Xinyu Zhan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 40
Learning Task-Oriented Grasping From Human Activity Datasets
Mia Kokić, Danica Kragić, Jeannette Bohg
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 3352-3359
Open Access | Times Cited: 62
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 61
Vision-based Robotic Grasping from Object Localization, Pose Estimation, Grasp Detection to Motion Planning: A Review.
Guoguang Du, Kai Wang, Shiguo Lian
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 54
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning
Haonan Duan, Peng Wang, Ya-Yu Huang, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 42
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
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
Feature Sensing and Robotic Grasping of Objects with Uncertain Information: A Review
Chao Wang, Xuehe Zhang, Xizhe Zang, et al.
Sensors (2020) Vol. 20, Iss. 13, pp. 3707-3707
Open Access | Times Cited: 39
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, et al.
(2021), pp. 6206-6213
Open Access | Times Cited: 38
A Comprehensive Study of 3-D Vision-Based Robot Manipulation
Yang Cong, Ronghan Chen, Bingtao Ma, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 3, pp. 1682-1698
Closed Access | Times Cited: 35
One-Shot Object Affordance Detection in the Wild
Wei Zhai, Hongchen Luo, Jing Zhang, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 10, pp. 2472-2500
Open Access | Times Cited: 26
A review of robotic grasp detection technology
Minglun Dong, Jian Zhang
Robotica (2023) Vol. 41, Iss. 12, pp. 3846-3885
Closed Access | Times Cited: 15
Learning Visual Affordance Grounding From Demonstration Videos
Hongchen Luo, Wei Zhai, Jing Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16857-16871
Open Access | Times Cited: 14
GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping
Chao Tang, Dehao Huang, Wenqi Ge, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 11, pp. 7551-7558
Open Access | Times Cited: 14
SimPLE, a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects
Maria Bauzá, Antonia Bronars, Yifan Hou, et al.
Science Robotics (2024) Vol. 9, Iss. 91
Open Access | Times Cited: 5
Custom Grasping: A Region-Based Robotic Grasping Detection Method in Industrial Cyber-Physical Systems
Yuanjun Laili, Zelin Chen, Lei Ren, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 1, pp. 88-100
Closed Access | Times Cited: 20
Tactile Tool Manipulation
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, et al.
(2023)
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top