Fetching the paper…
Reading the bibliography…
Hierarchical learning has been successful at learning generalizable locomotion skills on walking robots in a sample-efficient manner.
1903
Earlier work this paper cites.
1903
Earlier work this paper cites.
1908
Earlier work this paper cites.
1909
Earlier work this paper cites.
1909
Earlier work this paper cites.
1909
Earlier work this paper cites.
J. Morimoto, J. Nakanishi, G. Endo, G. Cheng, C. G. Atkeson, and G. Zeglin, “Poincare-map-based reinforcement learning for biped walking,” in 2005 IEEE International Conference on Robotics and Automation . IEEE, 2005, pp. 2381–2386. [Online]. Available: https://ieeexplore.ieee.org/document/1570469
2005
Earlier work this paper cites.
A. Herdt, H. Diedam, P.-B. Wieber, D. Dimitrov, K. Mombaur, and M. Diehl, “Online walking motion generation with automatic footstep placement,” Advanced Robotics , vol. 24, no. 5-6, pp. 719–737, 2010. [Online]. Available: https://hal.inria.fr/inria-00391408v1/document
2010
Earlier work this paper cites.
M. Kalakrishnan, J. Buchli, P. Pastor, M. Mistry, and S. Schaal, “Learning, planning, and control for quadruped locomotion over challenging terrain,” The International Journal of Robotics Research , vol. 30, no. 2, pp. 236–258, 2011. [Online]. Available: https://journals.sagepub.com/doi/abs/10.1177/0278364910388677
2011
Earlier work this paper cites.
J. Koenemann, A. Del Prete, Y. Tassa, E. Todorov, O. Stasse, M. Bennewitz, and N. Mansard, “Whole-body model-predictive control applied to the hrp-2 humanoid,” in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2015, pp. 3346–3351. [Online]. Available: https://ieeexplore.ieee.org/document/7353843
2015
Earlier work this paper cites.
A. Cully, J. Clune, D. Tarapore, and J.-B. Mouret, “Robots that can adapt like animals,” Nature , vol. 521, no. 7553, pp. 503–507, 2015. [Online]. Available: https://www.nature.com/articles/nature14422
2015
Cited alongside, same era.
S. Feng, E. Whitman, X. Xinjilefu, and C. G. Atkeson, “Optimization-based full body control for the darpa robotics challenge,” Journal of Field Robotics , vol. 32, no. 2, pp. 293–312, 2015. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.21559
2015
Cited alongside, same era.
2015
Cited alongside, same era.
S. Kuindersma, R. Deits, M. Fallon, A. Valenzuela, H. Dai, F. Permenter, T. Koolen, P. Marion, and R. Tedrake, “Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot,” Autonomous robots , vol. 40, no. 3, pp. 429–455, 2016. [Online]. Available: https://link.springer.com/article/10.1007/s10514-015-9479-3
2018
Later among the works it cites.
2018
Later among the works it cites.
O. Nachum, S. S. Gu, H. Lee, and S. Levine, “Data-efficient hierarchical reinforcement learning,” in Advances in Neural Information Processing Systems , 2018, pp. 3303–3313
2018
Later among the works it cites.
K. Chua, R. Calandra, R. McAllister, and S. Levine, “Deep reinforcement learning in a handful of trials using probabilistic dynamics models,” in Advances in Neural Information Processing Systems , 2018, pp. 4754–4765
2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
C. Finn, X. Y. Tan, Y. Duan, T. Darrell, S. Levine, and P. Abbeel, “Deep spatial autoencoders for visuomotor learning,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2016, pp. 512–519
2016
Cited alongside, same era.
2017
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
A. Rai, R. Antonova, S. Song, W. Martin, H. Geyer, and C. Atkeson, “Bayesian optimization using domain knowledge on the atrias biped,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 1771–1778. [Online]. Available: https://ieeexplore.ieee.org/document/8461237
2018
Cited alongside, same era.
“Hebi robotics,” https://www.hebirobotics.com/robotic-kits
Cited in the paper.
“Unitree robotics,” http://www.unitree.cc/
Cited in the paper.
Later among the works it cites.
T. Li, H. Geyer, C. G. Atkeson, and A. Rai, “Using deep reinforcement learning to learn high-level policies on the atrias biped,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 263–269
2019
Later among the works it cites.
E. Coumans and Y. Bai, “Pybullet,” http://pybullet.org
2019
Later among the works it cites.
F. Xia, W. B. Shen, C. Li, P. Kasimbeg, M. E. Tchapmi, A. Toshev, R. Martín-Martín, and S. Savarese, “Interactive gibson benchmark: A benchmark for interactive navigation in cluttered environments,” IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 713–720, 2020
2020
Closest in time.
X. Peng, E. Coumans, T. Zhang, T.-W. E. Lee, J. Tan, and S. Levine, “Learning agile robotic locomotion skills by imitating animals,” 07 2020
2020
Closest in time.
2020
Closest in time.
“Realsense tracking camera,” https://www.intelrealsense.com/tracking-camera-t265/
2021
Closest in time.