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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:

Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity
Ajay Mandlekar, Jonathan Booher, Max Spero, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 1048-1055
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Scaling Robot Learning with Semantically Imagined Experience
Tianhe Yu, Ted Xiao, Jonathan Tompson, et al.
(2023)
Open Access | Times Cited: 29
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, et al.
(2020)
Open Access | Times Cited: 50
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
Learning Multi-Arm Manipulation Through Collaborative Teleoperation
Albert Tung, Josiah Wong, Ajay Mandlekar, et al.
(2021), pp. 9212-9219
Open Access | Times Cited: 28
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie, Lisa Lee, Ted Xiao, et al.
(2024), pp. 3153-3160
Open Access | Times Cited: 3
FMB: A functional manipulation benchmark for generalizable robotic learning
Jianlan Luo, Charles Xu, Fangchen Liu, et al.
The International Journal of Robotics Research (2024)
Closed Access | Times Cited: 2
Generalizable Task Planning Through Representation Pretraining
Chen Wang, Danfei Xu, Li Fei-Fei
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 8299-8306
Open Access | Times Cited: 11
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Xintong Yang, Ze Ji, Jing Wu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 3, pp. 1139-1149
Open Access | Times Cited: 6
FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection
Arda İnceoğlu, Eren Erdal Aksoy, Abdullah Cihan Ak, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 6841-6847
Open Access | Times Cited: 13
Deep Imitation Learning for Humanoid Loco-manipulation Through Human Teleoperation
Mingyo Seo, Steve Han, Kyutae Sim, et al.
(2023), pp. 1-8
Open Access | Times Cited: 5
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
A. O'Neill, Abdul Rehman, Abhiram Maddukuri, et al.
(2024), pp. 6892-6903
Closed Access | Times Cited: 1
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control
Chen Wang, Rui Wang, Ajay Mandlekar, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 8913-8920
Open Access | Times Cited: 8
V2A - Vision to Action: Learning Robotic Arm Actions Based on Vision and Language
Michał Nazarczuk, Krystian Mikolajczyk
Lecture notes in computer science (2021), pp. 721-736
Closed Access | Times Cited: 6
Batch Reinforcement Learning from Crowds
Guoxi Zhang, Hisashi Kashima
Lecture notes in computer science (2023), pp. 38-51
Closed Access | Times Cited: 2
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method
Alvin Shek, Bo Su, Rui Chen, et al.
(2023)
Open Access | Times Cited: 2
Translating Natural Language Instructions to Computer Programs for Robot Manipulation
Sagar Gubbi Venkatesh, Raviteja Upadrashta, Bharadwaj Amrutur
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 1919-1926
Open Access | Times Cited: 5
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning.
Samarth Sinha, Animesh Garg
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Interactive Imitation Learning in Robotics: A Survey
Carlos Celemin, Rodrigo Pérez‐Dattari, Eugenio Chisari, et al.
(2022)
Open Access | Times Cited: 3
Point Cloud Models Improve Visual Robustness in Robotic Learners
Skand Vishwanath Peri, Iain Lee, Chanho Kim, et al.
(2024), pp. 17529-17536
Open Access
Aligning Human Intent From Imperfect Demonstrations With Confidence-Based Inverse Soft-Q Learning
X. B. Bu, Wenjuan Li, Zhengxiong Liu, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 8, pp. 7150-7157
Open Access
Leveraging Motor Babbling for Efficient Robot Learning
Kei Kase, Noboru Matsumoto, Tetsuya Ogata
Journal of Robotics and Mechatronics (2021) Vol. 33, Iss. 5, pp. 1063-1074
Open Access | Times Cited: 2
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, et al.
(2020)
Closed Access | Times Cited: 1
Ex-DoF: Expansion of Action Degree-of-Freedom with Virtual Camera Rotation for Omnidirectional Image
Kosuke Tahara, Noriaki Hirose
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 10382-10389
Open Access | Times Cited: 1
El aprendizaje en sistemas autónomos e inteligentes: visión general y sesgos de fuentes de datos
Pablo Jiménez Schlegl
Arbor (2021) Vol. 197, Iss. 802, pp. a627-a627
Open Access | Times Cited: 1
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
Kuan Fang, Toki Migimatsu, Ajay Mandlekar, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 1-8
Open Access
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