Fetching the paper…
Reading the bibliography…
One of the main challenges in peg-in-a-hole (PiH) insertion tasks is in handling the uncertainty in the location of the target hole.
P. Pastor, H. Hoffmann, T. Asfour, and S. Schaal, “Learning and generalization of motor skills by learning from demonstration,” in 2009 IEEE International Conference on Robotics and Automation
2009
Earlier work this paper cites.
B. D. Argall, S. Chernova, M. Veloso, and B. Browning, “A survey of robot learning from demonstration,” Robotics and autonomous systems
2009
Earlier work this paper cites.
J. Kober and J. Peters, “Policy search for motor primitives in robotics,” Machine Learning
2011
Earlier work this paper cites.
D. Grollman and A. Billard, “Donut as i do: Learning from failed demonstrations.” In Proceedings of IEEE International Conference on Robotics and Automation, 2011
2011
Earlier work this paper cites.
B. Akgun, M. Cakmak, K. Jiang, and A. L. Thomaz, “Keyframe-based learning from demonstration,” International Journal of Social Robotics
2012
Earlier work this paper cites.
PMID: 23148415
A. J. Ijspeert, J. Nakanishi, H. Hoffmann, P. Pastor, and S. Schaal, “Dynamical movement primitives: Learning attractor models for motor behaviors,” Neural Computation · 2013
Earlier work this paper cites.
A. Venkatraman, M. Hebert, and J. A. Bagnell, “Improving multi-step prediction of learned time series models.,” in AAAI
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
A. Giusti, J. Guzzi, D. C. Cireşan, F. He, J. P. Rodríguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. D. Caro, D. Scaramuzza, and L. M. Gambardella, “A machine learning approach to visual perception of forest trails for mobile robots,” IEEE Robotics and Automation Letters
2016
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition
2016
Cited alongside, same era.
M. Laskey, S. Staszak, W. Y. Hsieh, J. Mahler, F. T. Pokorny, A. D. Dragan, and K. Goldberg, “Shiv: Reducing supervisor burden in dagger using support vectors for efficient learning from demonstrations in high dimensional state spaces,” in 2016 IEEE International Conference on Robotics and Automation (ICRA)
2016
Cited alongside, same era.
T. Zhang, Z. McCarthy, O. Jow, D. Lee, X. Chen, K. Goldberg, and P. Abbeel, “Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,” in 2018 IEEE International Conference on Robotics and Automation (ICRA)
2018
Later among the works it cites.
2018
Later among the works it cites.
M. A. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg, “Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks,” in 2019 International Conference on Robotics and Automation (ICRA)
2019
Later among the works it cites.
2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
A. Doerr, C. Daniel, D. Nguyen-Tuong, A. Marco, S. Schaal, T. Marc, and S. Trimpe, “Optimizing long-term predictions for model-based policy search,” in Conference on Robot Learning
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
F. Torabi, G. Warnell, and P. Stone, “Behavioral cloning from observation,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18
2018
Cited alongside, same era.
J. Luo, E. Solowjow, C. Wen, J. A. Ojea, and A. M. Agogino, “Deep reinforcement learning for robotic assembly of mixed deformable and rigid objects,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2018
Cited alongside, same era.
Later among the works it cites.
M. Vecerik, O. Sushkov, D. Barker, T. Rothörl, T. Hester, and J. Scholz, “A practical approach to insertion with variable socket position using deep reinforcement learning,” in 2019 International Conference on Robotics and Automation (ICRA)
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
D. Ehlers, M. Suomalainen, J. Lundell, and V. Kyrki, “Imitating human search strategies for assembly,” in 2019 International Conference on Robotics and Automation (ICRA)
2019
Later among the works it cites.