Open Access Helper

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:

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger
Arthur Allshire, Mayank Mittal, Varun Lodaya, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15

Showing 15 citing articles:

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, et al.
(2023)
Open Access | Times Cited: 45
Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation
Gagan Khandate, Siqi Shang, Eric Chang, et al.
(2023)
Open Access | Times Cited: 11
Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review
Chunmiao Yu, Peng Wang
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 16
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang, Michael Lin, Iretiayo Akinola, et al.
(2023)
Open Access | Times Cited: 10
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)
Open Access | Times Cited: 12
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance
Kelvin Xu, Zheyuan Hu, Ria Doshi, et al.
(2023)
Open Access | Times Cited: 6
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
Aleksei Petrenko, Arthur Allshire, Gavriel State, et al.
(2023)
Open Access | Times Cited: 6
Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, et al.
(2023)
Closed Access | Times Cited: 5
IPC-GraspSim: Reducing the Sim2Real Gap for Parallel-Jaw Grasping with the Incremental Potential Contact Model
Chung Min Kim, Michael Danielczuk, Isabella Huang, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 6180-6187
Open Access | Times Cited: 5
Dexterous In-Hand Manipulation of Slender Cylindrical Objects Through Deep Reinforcement Learning with Tactile Sensing
Wenbin Hu, Bidan Huang, Zhibin Li, et al.
(2023)
Open Access | Times Cited: 2
Bio-Inspired Adaptive Control of Robotic Manipulators for Grasping in Orbital Space Missions
Collins Ogundipe
(2024)
Open Access
Reward Shaping in Reinforcement Learning for Robotic Hand Manipulation
Zelin Deng, Yunlong Dong, Xing Liu
(2024)
Closed Access
Dexterous in-hand manipulation of slender cylindrical objects through deep reinforcement learning with tactile sensing
Wenbin Hu, Bidan Huang, Wang Wei Lee, et al.
Robotics and Autonomous Systems (2024), pp. 104904-104904
Closed Access
Pre-and Post-Contact Policy Decomposition for Non-Prehensile Manipulation with Zero-Shot Sim-To-Real Transfer
Minchan Kim, Junhyek Han, Jae‐Hyung Kim, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)
Open Access | Times Cited: 1
Robust Visual Sim-to-Real Transfer for Robotic Manipulation
Ricardo García, Robin Strudel, Shizhe Chen, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 992-999
Open Access
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