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OpenAlex Citation Counts

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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 to guide task and motion planning using score-space representation
Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, et al.
The International Journal of Robotics Research (2019) Vol. 38, Iss. 7, pp. 793-812
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

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
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs
Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, et al.
(2021), pp. 6541-6548
Open Access | Times Cited: 57
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
Danny Driess, Jung-Su Ha, Marc Toussaint
(2020)
Open Access | Times Cited: 66
Efficient and Interpretable Robot Manipulation With Graph Neural Networks
Yixin Lin, Austin S. Wang, Eric Undersander, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 2740-2747
Open Access | Times Cited: 29
Recent Trends in Task and Motion Planning for Robotics: A Survey
Huihui Guo, Fan Wu, Yunchuan Qin, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-36
Closed Access | Times Cited: 19
NeRP: Neural Rearrangement Planning for Unknown Objects
Ahmed Jawad Qureshi, Arsalan Mousavian, Chris Paxton, et al.
(2021)
Open Access | Times Cited: 33
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input
Danny Driess, Jung-Su Ha, Russ Tedrake, et al.
(2021), pp. 14298-14305
Open Access | Times Cited: 29
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning
Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 12
Representation, learning, and planning algorithms for geometric task and motion planning
Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, et al.
The International Journal of Robotics Research (2021) Vol. 41, Iss. 2, pp. 210-231
Open Access | Times Cited: 21
Combining Task and Motion Planning: Challenges and Guidelines
Masoumeh Mansouri, Federico Pecora, Peter Schüller
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 20
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments
Muzhi Han, Zeyu Zhang, Ziyuan Jiao, et al.
(2021), pp. 12199-12206
Open Access | Times Cited: 19
Visually Grounded Task and Motion Planning for Mobile Manipulation
Xiaohan Zhang, Yifeng Zhu, Yan Ding, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 1925-1931
Open Access | Times Cited: 12
Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions
Gaoyuan Liu, Joris De Winter, Denis Steckelmacher, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 5, pp. 2764-2771
Open Access | Times Cited: 6
PROTAMP-RRT: A Probabilistic Integrated Task and Motion Planner Based on RRT
Alessio Saccuti, Riccardo Monica, Jacopo Aleotti
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 12, pp. 8398-8405
Open Access | Times Cited: 5
Learning to solve sequential physical reasoning problems from a scene image
Danny Driess, Jung-Su Ha, Marc Toussaint
The International Journal of Robotics Research (2021) Vol. 40, Iss. 12-14, pp. 1435-1466
Open Access | Times Cited: 12
Scaling Multimodal Planning: Using Experience and Informing Discrete Search
Zachary Kingston, Lydia E. Kavraki
IEEE Transactions on Robotics (2022) Vol. 39, Iss. 1, pp. 128-146
Closed Access | Times Cited: 8
Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning
Baichuan Huang, Abdeslam Boularias, Jingjin Yu
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 1153-1160
Open Access | Times Cited: 8
Latent Space Planning for Multiobject Manipulation With Environment-Aware Relational Classifiers
Yixuan Huang, Nichols Crawford Taylor, Adam Conkey, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 1724-1739
Open Access | Times Cited: 1
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective
Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 8288-8294
Open Access | Times Cited: 11
Learning to Predict Action Feasibility for Task and Motion Planning in 3D Environments
Smail Ait Bouhsain, Rachid Alami, Thierry Siméon
(2023), pp. 3736-3742
Open Access | Times Cited: 4
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 5, pp. 5377-5384
Open Access | Times Cited: 7
Custom distribution for sampling-based motion planning
Gabriel O. Flores-Aquino, Juan Irving Vasquez-Gomez, Octavio Gutiérrez-Frías
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 44, Iss. 3
Closed Access | Times Cited: 7
Task and Motion Planning Methods: Applications and Limitations
Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, et al.
Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics (2022)
Open Access | Times Cited: 7
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models
Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 5717-5724
Open Access | Times Cited: 9
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation
Meng Guo, Mathias Bürger
IEEE Transactions on Robotics (2021) Vol. 38, Iss. 3, pp. 1723-1734
Open Access | Times Cited: 8
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