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Humanoid robots, with their human-like embodiment, have the potential to integrate seamlessly into human environments.
Contribution to the synthesis of biped gait
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SMPL: A skinned multi-person linear model
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Recurrent network models for human dynamics
K. Fragkiadaki, S. Levine, P. Felsen, and J. Malik · 2015
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Unifying representations and large-scale whole-body motion databases for studying human motion
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Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
X. B. Peng, G. Berseth, K. Yin, and M. Van De Panne · 2017
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Auto-conditioned recurrent networks for extended complex human motion synthesis
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Physics-based motion capture imitation with deep reinforcement learning
N. Chentanez, M. Müller, M. Macklin, V. Makoviychuk, and S. Jeschke · 2018
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Mt-vae: Learning motion transformations to generate multimodal human dynamics
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AMASS: Archive of motion capture as surface shapes
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Mcp: Learning composable hierarchical control with multiplicative compositional policies
X. B. Peng, M. Chang, G. Zhang, P. Abbeel, and S. Levine · 2019
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Drecon: data-driven responsive control of physics-based characters
K. Bergamin, S. Clavet, D. Holden, and J. R. Forbes · 2019
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A neural temporal model for human motion prediction
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Structured prediction helps 3d human motion modelling
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Learning trajectory dependencies for human motion prediction
W. Mao, M. Liu, M. Salzmann, and H. Li · 2019
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Ego-pose estimation and forecasting as real-time pd control
Y. Yuan and K. Kitani · 2019
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Unicon: Universal neural controller for physics-based character motion
T. Wang, Y. Guo, M. Shugrina, and S. Fidler · 2020
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Catch & carry: reusable neural controllers for vision-guided whole-body tasks
J. Merel, S. Tunyasuvunakool, A. Ahuja, Y. Tassa, L. Hasenclever, V. Pham, T. Erez, G. Wayne, and N. Heess · 2020
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Comic: Complementary task learning & mimicry for reusable skills
L. Hasenclever, F. Pardo, R. Hadsell, N. Heess, and J. Merel · 2020
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A stochastic conditioning scheme for diverse human motion prediction
S. Aliakbarian, F. S. Saleh, M. Salzmann, L. Petersson, and S. Gould · 2020
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Dlow: Diversifying latent flows for diverse human motion prediction
Y. Yuan and K. Kitani · 2020
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Code as policies: Language model programs for embodied control, 2023
J. Liang, W. Huang, F. Xia, P. Xu, K. Hausman, B. Ichter, P. Florence, and A. Zeng · 2023
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Text2motion: from natural language instructions to feasible plans
K. Lin, C. Agia, T. Migimatsu, M. Pavone, and J. Bohg · 2023
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Voyager: An open-ended embodied agent with large language models, 2023
G. Wang, Y. Xie, Y. Jiang, A. Mandlekar, C. Xiao, Y. Zhu, L. Fan, and A. Anandkumar · 2023
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Task and motion planning with large language models for object rearrangement, 2023
Y. Ding, X. Zhang, C. Paxton, and S. Zhang · 2023
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Y. Xie, C. Yu, T. Zhu, J. Bai, Z. Gong, and H. Soh · 2023
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Generalized planning in pddl domains with pretrained large language models, 2023
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Y. Yuan, S.-E. Wei, T. Simon, K. Kitani, and J. Saragih · 2021
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Amp: Adversarial motion priors for stylized physics-based character control
X. B. Peng, Z. Ma, P. Abbeel, S. Levine, and A. Kanazawa · 2021
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Supertrack: Motion tracking for physically simulated characters using supervised learning
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Action-conditioned 3d human motion synthesis with transformer vae
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Questsim: Human motion tracking from sparse sensors with simulated avatars
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Instruct2act: Mapping multi-modality instructions to robotic actions with large language model, 2023
S. Huang, Z. Jiang, H. Dong, Y. Qiao, P. Gao, and H. Li · 2023
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Demo2code: From summarizing demonstrations to synthesizing code via extended chain-of-thought, 2023
H. Wang, G. Gonzalez-Pumariega, Y. Sharma, and S. Choudhury · 2023
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Interactive robot learning from verbal correction
H. Liu, A. Chen, Y. Zhu, A. Swaminathan, A. Kolobov, and C.-A. Cheng · 2023
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Language to rewards for robotic skill synthesis, 2023
W. Yu, N. Gileadi, C. Fu, S. Kirmani, K.-H. Lee, M. G. Arenas, H.-T. L. Chiang, T. Erez, L. Hasenclever, J. Humplik, B. Ichter, T. Xiao, P. Xu, A. Zeng, T. Zhang, N. Heess, D. Sadigh, J. Tan, Y. Tassa, and F. Xia · 2023
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Expressive whole-body control for humanoid robots
X. Cheng, Y. Ji, J. Chen, R. Yang, G. Yang, and X. Wang · 2024
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Learning human-to-humanoid real-time whole-body teleoperation
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Motiongpt: Human motion as a foreign language
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Motiongpt: Finetuned llms are general-purpose motion generators
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