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 robot in-hand manipulation with tactile features
Herke van Hoof, Tucker Hermans, Gerhard Neumann, et al.
(2015)
Open Access | Times Cited: 152
Herke van Hoof, Tucker Hermans, Gerhard Neumann, et al.
(2015)
Open Access | Times Cited: 152
Showing 1-25 of 152 citing articles:
Learning dexterous in-hand manipulation
OpenAI Marcin Andrychowicz, Bowen Baker, Maciek Chociej, et al.
The International Journal of Robotics Research (2019) Vol. 39, Iss. 1, pp. 3-20
Open Access | Times Cited: 1365
OpenAI Marcin Andrychowicz, Bowen Baker, Maciek Chociej, et al.
The International Journal of Robotics Research (2019) Vol. 39, Iss. 1, pp. 3-20
Open Access | Times Cited: 1365
Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 655
OpenAI, Ilge Akkaya, Marcin Andrychowicz, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 655
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, et al.
(2018)
Open Access | Times Cited: 644
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, et al.
(2018)
Open Access | Times Cited: 644
Trends and challenges in robot manipulation
Aude Billard, Danica Kragić
Science (2019) Vol. 364, Iss. 6446
Open Access | Times Cited: 601
Aude Billard, Danica Kragić
Science (2019) Vol. 364, Iss. 6446
Open Access | Times Cited: 601
Electronic skins and machine learning for intelligent soft robots
Benjamin Shih, Dylan Shah, Jinxing Li, et al.
Science Robotics (2020) Vol. 5, Iss. 41
Open Access | Times Cited: 513
Benjamin Shih, Dylan Shah, Jinxing Li, et al.
Science Robotics (2020) Vol. 5, Iss. 41
Open Access | Times Cited: 513
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 3, pp. 3838-3845
Open Access | Times Cited: 338
Mike Lambeta, Po-Wei Chou, Stephen Tian, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 3, pp. 3838-3845
Open Access | Times Cited: 338
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8943-8950
Open Access | Times Cited: 308
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8943-8950
Open Access | Times Cited: 308
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
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
End-To-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh, Larry Yang, Chelsea Finn, et al.
(2019)
Open Access | Times Cited: 198
Avi Singh, Larry Yang, Chelsea Finn, et al.
(2019)
Open Access | Times Cited: 198
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Peter Zachares, et al.
IEEE Transactions on Robotics (2020) Vol. 36, Iss. 3, pp. 582-596
Open Access | Times Cited: 161
Michelle A. Lee, Yuke Zhu, Peter Zachares, et al.
IEEE Transactions on Robotics (2020) Vol. 36, Iss. 3, pp. 582-596
Open Access | Times Cited: 161
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 3651-3657
Open Access | Times Cited: 148
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 3651-3657
Open Access | Times Cited: 148
Learning Dexterous In-Hand Manipulation
OpenAI
arXiv (Cornell University) (2018)
Open Access | Times Cited: 159
OpenAI
arXiv (Cornell University) (2018)
Open Access | Times Cited: 159
Learning dexterous manipulation for a soft robotic hand from human demonstrations
Abhishek Gupta, Clemens Eppner, Sergey Levine, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 3786-3793
Closed Access | Times Cited: 134
Abhishek Gupta, Clemens Eppner, Sergey Levine, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 3786-3793
Closed Access | Times Cited: 134
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, et al.
IEEE Transactions on Robotics (2019) Vol. 36, Iss. 2, pp. 328-347
Open Access | Times Cited: 133
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, et al.
IEEE Transactions on Robotics (2019) Vol. 36, Iss. 2, pp. 328-347
Open Access | Times Cited: 133
Stable reinforcement learning with autoencoders for tactile and visual data
Herke van Hoof, Nutan Chen, Maximilian Karl, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 3928-3934
Closed Access | Times Cited: 128
Herke van Hoof, Nutan Chen, Maximilian Karl, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2016), pp. 3928-3934
Closed Access | Times Cited: 128
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Ivaylo Popov, Nicolas Heess, Timothy Lillicrap, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 123
Ivaylo Popov, Nicolas Heess, Timothy Lillicrap, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 123
Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?
Akihiko Yamaguchi, Christopher G. Atkeson
Advanced Robotics (2019) Vol. 33, Iss. 14, pp. 661-673
Closed Access | Times Cited: 116
Akihiko Yamaguchi, Christopher G. Atkeson
Advanced Robotics (2019) Vol. 33, Iss. 14, pp. 661-673
Closed Access | Times Cited: 116
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 99
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 99
Trends of Human-Robot Collaboration in Industry Contexts: Handover, Learning, and Metrics
Afonso Castro, Filipe Silva, Vítor Santos
Sensors (2021) Vol. 21, Iss. 12, pp. 4113-4113
Open Access | Times Cited: 62
Afonso Castro, Filipe Silva, Vítor Santos
Sensors (2021) Vol. 21, Iss. 12, pp. 4113-4113
Open Access | Times Cited: 62
Dynamic tactility by position-encoded spike spectrum
Tae Yeong Kim, Jaehun Kim, Insang You, et al.
Science Robotics (2022) Vol. 7, Iss. 63
Open Access | Times Cited: 46
Tae Yeong Kim, Jaehun Kim, Insang You, et al.
Science Robotics (2022) Vol. 7, Iss. 63
Open Access | Times Cited: 46
Learning-Based Control Strategies for Soft Robots: Theory, Achievements, and Future Challenges
Cecilia Laschi, Thomas George Thuruthel, Fumiya Lida, et al.
IEEE Control Systems (2023) Vol. 43, Iss. 3, pp. 100-113
Open Access | Times Cited: 28
Cecilia Laschi, Thomas George Thuruthel, Fumiya Lida, et al.
IEEE Control Systems (2023) Vol. 43, Iss. 3, pp. 100-113
Open Access | Times Cited: 28
Exploratory Tactile Servoing With Active Touch
Nathan F. Lepora, Kirsty Aquilina, Luke Cramphorn
IEEE Robotics and Automation Letters (2017) Vol. 2, Iss. 2, pp. 1156-1163
Open Access | Times Cited: 79
Nathan F. Lepora, Kirsty Aquilina, Luke Cramphorn
IEEE Robotics and Automation Letters (2017) Vol. 2, Iss. 2, pp. 1156-1163
Open Access | Times Cited: 79
A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control
Pengcheng Liu, M. Nazmul Huda, Li Sun, et al.
Mechatronics (2020) Vol. 72, pp. 102443-102443
Open Access | Times Cited: 67
Pengcheng Liu, M. Nazmul Huda, Li Sun, et al.
Mechatronics (2020) Vol. 72, pp. 102443-102443
Open Access | Times Cited: 67
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura Smith, Nikita Dhawan, Marvin Zhang, et al.
(2020)
Open Access | Times Cited: 64
Laura Smith, Nikita Dhawan, Marvin Zhang, et al.
(2020)
Open Access | Times Cited: 64
Robust Learning of Tactile Force Estimation through Robot Interaction
Balakumar Sundaralingam, Alexander Lambert, Ankur Handa, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 9035-9042
Closed Access | Times Cited: 57
Balakumar Sundaralingam, Alexander Lambert, Ankur Handa, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 9035-9042
Closed Access | Times Cited: 57
