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In this paper, we present a mesh-based approach to analyze stability and robustness of the policies obtained via deep reinforcement learning for various biped gaits of a five-link planar model.
K. Byl and R. Tedrake, “Metastable walking machines,” I. J. Robotics Res. , vol. 28, pp. 1040–1064, 2009
2009
Earlier work this paper cites.
E. Todorov, T. Erez, and Y. Tassa, “MuJoCo: A physics engine for model-based control,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems , Oct 2012, pp. 5026–5033
2012
Earlier work this paper cites.
C. O. Saglam and K. Byl, “Robust policies via meshing for metastable rough terrain walking,” in Proc. Robotics: Science and Systems , 2014
2014
Earlier work this paper cites.
S. Feng, E. C. Whitman, X. Xinjilefu, and C. G. Atkeson, “Optimization-based full body control for the darpa robotics challenge,” J. Field Robotics , vol. 32, pp. 293–312, 2015
2015
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——, “Meshing hybrid zero dynamics for rough terrain walking,” in IEEE Int. Conf. on Robotics and Autom. (ICRA) , 2015, pp. 5718–5725
2015
Earlier work this paper cites.
C. O. Saglam, “Tractable Quantication of Metastability for Robust Bipedal Locomotion,” PhD thesis, UCSB, 2015
2015
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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,” Auton. Robots , vol. 40, no. 3, pp. 429–455, 2016
2016
Cited alongside, same era.
M. Posa, S. Kuindersma, and R. Tedrake, “Optimization and stabilization of trajectories for constrained dynamical systems,” in Proc. IEEE Int. Conf. on Robotics and Autom. (ICRA) , May 2016, pp. 1366–1373
2016
Cited alongside, same era.
A. Hereid, E. A. Cousineau, C. M. Hubicki, and A. D. Ames, “3D dynamic walking with underactuated humanoid robots: A direct collocation framework for optimizing hybrid zero dynamics,” in Proc. IEEE Int. Conf. on Robotics and Autom. (ICRA) , 2016, pp. 1447–1454
2016
Cited alongside, same era.
N. Heess, D. TB, S. Sriram, J. Lemmon, J. Merel, G. Wayne, Y. Tassa, T. Erez, Z. Wang, S. M. A. Eslami, M. Riedmiller, and D. Silver, “Emergence of locomotion behaviours in rich environments,” 2017
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov, “Proximal policy optimization algorithms,” 2017
2017
Later among the works it cites.
P. Dhariwal, C. Hesse, O. Klimov, A. Nichol, M. Plappert, A. Radford, J. Schulman, S. Sidor, Y. Wu, and P. Zhokhov, “OpenAI baselines,” https://github.com/openai/baselines, 2017
2017
Later among the works it cites.
G. Bellegarda, N. Talele, and K. Byl, “Nonintuitive optima for dynamic locomotion: The Acrollbot,” 05 2018, pp. 3130–3136
2018
Later among the works it cites.
N. Talele and K. Byl, “Mesh-based methods for quantifying and improving robustness of a planar biped model to random push disturbances,” in 2019 American Control Conference (ACC) , July 2019, pp. 1860–1866
2019
Closest in time.
N. Talele and K. Byl, “Methods and performance analyses for design and feedback control of efficient and robust planar biped walking,” in 2019 American Control Conference (ACC) , July 2019, pp. 4567–4572
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2017
Cited alongside, same era.
S. Sovero, N. Talele, C. Smith, N. Cox, T. Swift, and K. Byl, “Initial data and theory for a high specific-power ankle exoskeleton device,” in 2016 Int. Symp. on Exper. Robotics (ISER) , D. Kulić, Y. Nakamura, O. Khatib, and G. Venture, Eds. Springer, 2017, pp. 355–364
2017
Cited alongside, same era.
2019
Closest in time.