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:

Data-Driven Grasp Synthesis—A Survey
Jeannette Bohg, Antonio Morales, Tamim Asfour, et al.
IEEE Transactions on Robotics (2014) Vol. 30, Iss. 2, pp. 289-309
Open Access | Times Cited: 590

Showing 1-25 of 590 citing articles:

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pástor, Alex Krizhevsky, et al.
The International Journal of Robotics Research (2017) Vol. 37, Iss. 4-5, pp. 421-436
Open Access | Times Cited: 1789
Deep learning for detecting robotic grasps
Ian Lenz, Honglak Lee, Ashutosh Saxena
The International Journal of Robotics Research (2015) Vol. 34, Iss. 4-5, pp. 705-724
Open Access | Times Cited: 1513
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
Lerrel Pinto, Abhinav Gupta
(2016), pp. 3406-3413
Open Access | Times Cited: 1098
A Survey of Research on Cloud Robotics and Automation
Ben Kehoe, Sachin Patil, Pieter Abbeel, et al.
IEEE Transactions on Automation Science and Engineering (2015) Vol. 12, Iss. 2, pp. 398-409
Open Access | Times Cited: 784
Trends and challenges in robot manipulation
Aude Billard, Danica Kragić
Science (2019) Vol. 364, Iss. 6446
Open Access | Times Cited: 601
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pástor, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 578
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
Douglas Morrison, Jürgen Leitner, Peter Corke
(2018)
Open Access | Times Cited: 489
Learning ambidextrous robot grasping policies
Jeffrey Mahler, Matthew Matl, Vishal Satish, et al.
Science Robotics (2019) Vol. 4, Iss. 26
Closed Access | Times Cited: 487
Recent Advances in Robot Learning from Demonstration
Harish Ravichandar, Athanasios Polydoros, Sonia Chernova, et al.
Annual Review of Control Robotics and Autonomous Systems (2019) Vol. 3, Iss. 1, pp. 297-330
Open Access | Times Cited: 474
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 12619-12629
Closed Access | Times Cited: 366
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards
Jeffrey Mahler, Florian T. Pokorny, Brian Hou, et al.
(2016), pp. 1957-1964
Closed Access | Times Cited: 354
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
Guoguang Du, Kai Wang, Shiguo Lian, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1677-1734
Open Access | Times Cited: 351
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
PointNetGPD: Detecting Grasp Configurations from Point Sets
Hongzhuo Liang, Xiaojian Ma, Shuang Li, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 290
Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection
Sergey Levine, Peter Pástor, Alex Krizhevsky, et al.
Springer proceedings in advanced robotics (2017), pp. 173-184
Closed Access | Times Cited: 278
Leveraging big data for grasp planning
Daniel Kappler, Jeannette Bohg, Stefan Schaal
(2015), pp. 4304-4311
Closed Access | Times Cited: 274
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pástor, et al.
Conference on Robot Learning (2018), pp. 651-673
Closed Access | Times Cited: 216
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
A Review of Tactile Information: Perception and Action Through Touch
Qiang Li, Oliver Kroemer, Zhe Su, et al.
IEEE Transactions on Robotics (2020) Vol. 36, Iss. 6, pp. 1619-1634
Open Access | Times Cited: 204
A hybrid deep architecture for robotic grasp detection
Di Guo, Fuchun Sun, Huaping Liu, et al.
(2017), pp. 1609-1614
Closed Access | Times Cited: 190
Review of Deep Learning Methods in Robotic Grasp Detection
Shehan Caldera, Alexander Rassau, Douglas Chai
Multimodal Technologies and Interaction (2018) Vol. 2, Iss. 3, pp. 57-57
Open Access | Times Cited: 163
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
Hua Jiang, Liangcai Zeng, Gongfa Li, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1278-1278
Open Access | Times Cited: 158
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
Grasping Field: Learning Implicit Representations for Human Grasps
Korrawe Karunratanakul, Jinlong Yang, Yan Zhang, et al.
2021 International Conference on 3D Vision (3DV) (2020)
Open Access | Times Cited: 154
Manipulator grabbing position detection with information fusion of color image and depth image using deep learning
Du Jiang, Gongfa Li, Ying Sun, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 12, pp. 10809-10822
Closed Access | Times Cited: 126
Page 1 - Next Page

Scroll to top