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:

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

Showing 1-25 of 61 citing articles:

6-DOF Grasping for Target-driven Object Manipulation in Clutter
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, et al.
(2020), pp. 6232-6238
Open Access | Times Cited: 173
A Deep Learning Approach to Grasping the Invisible
Yang Yang, Hengyue Liang, Changhyun Choi
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2232-2239
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
Object Finding in Cluttered Scenes Using Interactive Perception
Tonči Novković, Rémi Pautrat, Fadri Furrer, et al.
(2020), pp. 8338-8344
Open Access | Times Cited: 64
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
Hanbo Zhang, Yunfan Lu, Cunjun Yu, et al.
(2021)
Open Access | Times Cited: 35
Split Deep Q-Learning for Robust Object Singulation
Iason Sarantopoulos, Marios Kiatos, Zoe Doulgeri, et al.
(2020), pp. 6225-6231
Open Access | Times Cited: 35
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 8408-8414
Open Access | Times Cited: 34
Visual Foresight Trees for Object Retrieval From Clutter With Nonprehensile Rearrangement
Baichuan Huang, Shuai D. Han, Jingjin Yu, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 1, pp. 231-238
Open Access | Times Cited: 31
RFusion
Tara Boroushaki, Isaac Perper, Mergen Nachin, et al.
(2021), pp. 192-205
Open Access | Times Cited: 28
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces
Rui Wang, Yinglong Miao, Kostas E. Bekris
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 1968-1975
Open Access | Times Cited: 22
Robotic Grasping of Fully-Occluded Objects using RF Perception
Tara Boroushaki, Junshan Leng, Ian Clester, et al.
(2021), pp. 923-929
Open Access | Times Cited: 26
Collision-Aware Target-Driven Object Grasping in Constrained Environments
Xibai Lou, Yang Yang, Changhyun Choi
(2021), pp. 6364-6370
Open Access | Times Cited: 25
Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
Rui Wang, Kai Gao, Daniel Nakhimovich, et al.
(2021)
Open Access | Times Cited: 24
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Open Access | Times Cited: 27
Total Singulation With Modular Reinforcement Learning
Iason Sarantopoulos, Marios Kiatos, Zoe Doulgeri, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 4117-4124
Open Access | Times Cited: 20
A Novel Vision-Based Grasping Method Under Occlusion for Manipulating Robotic System
Yingying Yu, Zhiqiang Cao, Shuang Liang, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 18, pp. 10996-11006
Closed Access | Times Cited: 21
A Joint Network for Grasp Detection Conditioned on Natural Language Commands
Yiye Chen, Ruinian Xu, Yunzhi Lin, et al.
(2021), pp. 4576-4582
Open Access | Times Cited: 19
Toward Sim-to-Real Directional Semantic Grasping
Shariq Iqbal, Jonathan Tremblay, Andy Campbell, et al.
(2020), pp. 7247-7253
Open Access | Times Cited: 18
MQA: Answering the Question via Robotic Manipulation
Yuhong Deng, Di Guo, Xiaofeng Guo, et al.
(2021)
Open Access | Times Cited: 17
Multi-Resolution POMDP Planning for Multi-Object Search in 3D
Kaiyu Zheng, Yoonchang Sung, George Konidaris, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
Open Access | Times Cited: 16
Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures
Hengyue Liang, Xibai Lou, Yang Yang, et al.
(2021), pp. 2562-2568
Open Access | Times Cited: 16
Towards Living Machines: current and future trends of tactile sensing, grasping, and social robotics
Vasiliki Vouloutsi, Lorenzo Cominelli, Mehmet R. Doğar, et al.
Bioinspiration & Biomimetics (2023) Vol. 18, Iss. 2, pp. 025002-025002
Open Access | Times Cited: 6
Vision-Based Robotic Pushing and Grasping for Stone Sample Collection under Computing Resource Constraints
Raphael Grimm, Markus Grotz, Simon Ottenhaus, et al.
(2021), pp. 6498-6504
Closed Access | Times Cited: 15
Attribute-Based Robotic Grasping with One-Grasp Adaptation
Yang Yang, Yuanhao Liu, Hengyue Liang, et al.
(2021), pp. 6357-6363
Open Access | Times Cited: 13
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning
K. Niranjan Kumar, Irfan Essa, Sehoon Ha
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 7521-7527
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top