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Gaits and transitions are key components in legged locomotion.
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1981
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2008
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L. Righetti and A. J. Ijspeert, “Pattern generators with sensory feedback for the control of quadruped locomotion,” in 2008 IEEE International Conference on Robotics and Automation , May 2008, pp. 819–824
2008
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S. Gay, J. Santos-Victor, and A. Ijspeert, “Learning robot gait stability using neural networks as sensory feedback function for central pattern generators,” in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems , Nov 2013, pp. 194–201
2013
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2015
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A. Espinal, H. Rostro-Gonzalez, M. Carpio, E. I. Guerra-Hernandez, M. Ornelas-Rodriguez, and M. Sotelo-Figueroa, “Design of spiking central pattern generators for multiple locomotion gaits in hexapod robots by christiansen grammar evolution,” Frontiers in Neurorobotics , vol. 10, p. 6, 2016
2016
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W. Xi, Y. Yesilevskiy, and C. D. Remy, “Selecting gaits for economical locomotion of legged robots,” The International Journal of Robotics Research , vol. 35, no. 9, pp. 1140–1154, 2016
2016
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2017
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J. Di Carlo, P. M. Wensing, B. Katz, G. Bledt, and S. Kim, “Dynamic locomotion in the mit cheetah 3 through convex model-predictive control,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Oct 2018, pp. 1–9
2018
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2018
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X. B. Peng, P. Abbeel, S. Levine, and M. van de Panne, “Deepmimic: Example-guided deep reinforcement learning of physics-based character skills,” ACM Trans. Graph. , vol. 37, no. 4, pp. 143:1–143:14, Jul. 2018
2018
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Y. Zeng, J. Li, S. X. Yang, and E. Ren, “A bio-inspired control strategy for locomotion of a quadruped robot,” Applied Sciences , vol. 8, no. 1, 2018
2018
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H. Zhang, S. Starke, T. Komura, and J. Saito, “Mode-adaptive neural networks for quadruped motion control,” ACM Trans. Graph. , vol. 37, no. 4, jul 2018
2018
Cited alongside, same era.
J. Hwangbo, J. Lee, and M. Hutter, “Per-contact iteration method for solving contact dynamics,” IEEE Robotics and Automation Letters , vol. 3, no. 2, pp. 895–902, 2018
2018
Cited alongside, same era.
J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning quadrupedal locomotion over challenging terrain,” Science Robotics , vol. 5, no. 47, 2020
2020
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2020
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X. B. Peng, E. Coumans, T. Zhang, T.-W. E. Lee, J. Tan, and S. Levine, “Learning agile robotic locomotion skills by imitating animals,” in Robotics: Science and Systems , 07 2020
2020
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2020
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A. Hill, A. Raffin, M. Ernestus, A. Gleave, A. Kanervisto, R. Traore, P. Dhariwal, C. Hesse, O. Klimov, A. Nichol, M. Plappert, A. Radford, J. Schulman, S. Sidor, and Y. Wu, “Stable baselines,” https://github.com/hill-a/stable-baselines, 2018
2018
Cited alongside, same era.
2019
Cited alongside, same era.
J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis, V. Koltun, and M. Hutter, “Learning agile and dynamic motor skills for legged robots,” Science Robotics , vol. 4, no. 26, 2019
2019
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S. Dutta, A. Parihar, A. Khanna, J. Gomez, W. Chakraborty, M. Jerry, B. Grisafe, A. Raychowdhury, and S. Datta, “Programmable coupled oscillators for synchronized locomotion,” Nature Communications , vol. 10, p. 3299, 07 2019
2019
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Y. Habu, K. Uta, and Y. Fukuoka, “Three-dimensional walking of a simulated muscle-driven quadruped robot with neuromorphic two-level central pattern generators,” International Journal of Advanced Robotic Systems , vol. 16, p. 172988141988528, 11 2019
2019
Cited alongside, same era.
X. B. Peng, M. Chang, G. Zhang, P. Abbeel, and S. Levine, “Mcp: Learning composable hierarchical control with multiplicative compositional policies,” in Advances in Neural Information Processing Systems 32 , H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, and R. Garnett, Eds. Curran Associates, Inc., 2019, pp. 3681–3692
2019
Cited alongside, same era.
B. Katz, J. D. Carlo, and S. Kim, “Mini cheetah: A platform for pushing the limits of dynamic quadruped control,” in 2019 International Conference on Robotics and Automation (ICRA) , 2019, pp. 6295–6301
2019
Cited alongside, same era.
G. Raiola, E. Mingo Hoffman, M. Focchi, N. Tsagarakis, and C. Semini, “A simple yet effective whole-body locomotion framework for quadruped robots,” Frontiers in Robotics and AI , vol. 7, p. 159, 2020
2020
Cited alongside, same era.
Y.-S. Luo, J. H. Soeseno, T. P.-C. Chen, and W.-C. Chen, “Carl: Controllable agent with reinforcement learning for quadruped locomotion,” ACM Trans. Graph. , vol. 39, no. 4, Jul. 2020
2020
Later among the works it cites.
C. Yang, K. Yuan, Q. Zhu, W. Yu, and Z. Li, “Multi-expert learning of adaptive legged locomotion,” Science Robotics , vol. 5, no. 49, 2020
2020
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2020
Later among the works it cites.
J. Carius, F. Farshidian, and M. Hutter, “Mpc-net: A first principles guided policy search,” IEEE Robotics and Automation Letters , vol. 5, no. 2, p. 2897–2904, Apr 2020
2020
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2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
W. Xiao and W. Wang, “Hopf oscillator-based gait transition for a quadruped robot,” in 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014) , Dec 2014, pp. 2074–2079
2079
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