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 mobile manipulation actions from human demonstrations
Tim Welschehold, Christian Dornhege, Wolfram Burgard
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017), pp. 3196-3201
Closed Access | Times Cited: 39
Tim Welschehold, Christian Dornhege, Wolfram Burgard
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017), pp. 3196-3201
Closed Access | Times Cited: 39
Showing 26-50 of 39 citing articles:
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
Tim Welschehold, Nichola Abdo, Christian Dornhege, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 3
Tim Welschehold, Nichola Abdo, Christian Dornhege, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 3
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency
Mohi Khansari, Daniel E. Ho, Yuqing Du, et al.
(2023), pp. 1837-1844
Closed Access | Times Cited: 1
Mohi Khansari, Daniel E. Ho, Yuqing Du, et al.
(2023), pp. 1837-1844
Closed Access | Times Cited: 1
Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation
Cem Gökmen, Daniel W. C. Ho, Mohi Khansari
(2023)
Open Access | Times Cited: 1
Cem Gökmen, Daniel W. C. Ho, Mohi Khansari
(2023)
Open Access | Times Cited: 1
Learning Adaptive Manipulation of Objects with Revolute Joint: A case Study on Varied Cabinet Doors Opening
Hongxiang Yu, Dashun Guo, Zhongxiang Zhou, et al.
(2023), pp. 4363-4368
Open Access | Times Cited: 1
Hongxiang Yu, Dashun Guo, Zhongxiang Zhou, et al.
(2023), pp. 4363-4368
Open Access | Times Cited: 1
Augmenting Action Model Learning by Non-Geometric Features
Iman Nematollahi, D. Kuhner, Tim Welschehold, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Closed Access | Times Cited: 2
Iman Nematollahi, D. Kuhner, Tim Welschehold, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Closed Access | Times Cited: 2
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations
Trevor Ablett, Yifan Zhai, Jonathan Kelly
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 7843-7850
Open Access | Times Cited: 2
Trevor Ablett, Yifan Zhai, Jonathan Kelly
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 7843-7850
Open Access | Times Cited: 2
Imitation learning of a wheeled mobile manipulator based on dynamical movement primitives
Zeguo Yang, Mantian Li, Fusheng Zha, et al.
Industrial Robot the international journal of robotics research and application (2021) Vol. 48, Iss. 4, pp. 556-568
Closed Access | Times Cited: 2
Zeguo Yang, Mantian Li, Fusheng Zha, et al.
Industrial Robot the international journal of robotics research and application (2021) Vol. 48, Iss. 4, pp. 556-568
Closed Access | Times Cited: 2
ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors
Charles Sun, Jędrzej Orbik, Coline Devin, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Charles Sun, Jędrzej Orbik, Coline Devin, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.
Tongzhou Mu, Zhan Ling, Fanbo Xiang, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Tongzhou Mu, Zhan Ling, Fanbo Xiang, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Fully Autonomous Real-World Reinforcement Learning for Mobile Manipulation
Charles Sun, Jędrzej Orbik, Coline Devin, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Charles Sun, Jędrzej Orbik, Coline Devin, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, et al.
arXiv (Cornell University) (2023)
Open Access
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, et al.
arXiv (Cornell University) (2023)
Open Access
Finding Locomanipulation Plans Quickly in the Locomotion Constrained Manifold
Steven Jens Jorgensen, Mihir Vedantam, Ryan Gupta, et al.
arXiv (Cornell University) (2019)
Closed Access
Steven Jens Jorgensen, Mihir Vedantam, Ryan Gupta, et al.
arXiv (Cornell University) (2019)
Closed Access
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
Josiah Wong, Albert Tung, Andrey Kurenkov, et al.
5th Annual Conference on Robot Learning (2021)
Closed Access
Josiah Wong, Albert Tung, Andrey Kurenkov, et al.
5th Annual Conference on Robot Learning (2021)
Closed Access
