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Humanoid activities involving sequential contacts are crucial for complex robotic interactions and operations in the real world and are traditionally solved by model-based motion planning, which is time-consuming and often relies on simplified dynamics models.
Similarity estimation techniques from rounding algorithms
M. S. Charikar · 2002
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Y.-C. Lin, B. Ponton, L. Righetti, and D. Berenson · 2019
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Y. Burda, H. Edwards, A. Storkey, and O. Klimov · 2019
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C. Mastalli, R. Budhiraja, W. Merkt, G. Saurel, B. Hammoud, M. Naveau, J. Carpentier, L. Righetti, S. Vijayakumar, and N. Mansard · 2020
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Do you love me?
Boston Dynamics · 2020
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F. Ruscelli, M. P. Polverini, A. Laurenzi, E. M. Hoffman, and N. G. Tsagarakis · 2020
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M. Chignoli, D. Kim, E. Stanger-Jones, and S. Kim · 2021
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J. Siekmann, K. Green, J. Warila, A. Fern, and J. Hurst · 2021
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Isaac gym: High performance gpu based physics simulation for robot learning
V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, et al · 2021
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Reinforcement learning for robust parameterized locomotion control of bipedal robots
Z. Li, X. Cheng, X. B. Peng, P. Abbeel, S. Levine, G. Berseth, and K. Sreenath · 2021
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Z. Li, X. B. Peng, P. Abbeel, S. Levine, G. Berseth, and K. Sreenath · 2023
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