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This paper addresses the inherent inference latency challenges associated with deploying multimodal large language models (MLLM) in quadruped vision-language-action (QUAR-VLA) tasks.
2019
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2021
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J. Pari, N. M. Shafiullah, S. P. Arunachalam, and L. Pinto, “The surprising effectiveness of representation learning for visual imitation,” 2021
2021
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Y. Han, G. Huang, S. Song, L. Yang, H. Wang, and Y. Wang, “Dynamic neural networks: A survey,”
2021
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V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, and G. State, “Isaac gym: High performance gpu-based physics simulation for robot learning,” 2021
2021
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A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever, “Learning transferable visual models from natural language supervision,” 2021
2021
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S. Kareer, N. Yokoyama, D. Batra, S. Ha, and J. Truong, “Vinl: Visual navigation and locomotion over obstacles,”
2022
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H. Karnan, A. Nair, X. Xiao, G. Warnell, S. Pirk, A. Toshev, J. Hart, J. Biswas, and P. Stone, “Socially compliant navigation dataset (scand): A large-scale dataset of demonstrations for social navigation,”
2022
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S. Haldar, V. Mathur, D. Yarats, and L. Pinto, “Watch and match: Supercharging imitation with regularized optimal transport,”
2022
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T. Miki, J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning robust perceptive locomotion for quadrupedal robots in the wild,”
2022
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2022
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2023
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2023
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2023
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G. Schiavi, P. Wulkop, G. Rizzi, L. Ott, R. Siegwart, and J. J. Chung, “Learning agent-aware affordances for closed-loop interaction with articulated objects,” in
2023
Cited alongside, same era.
S. Bahl, R. Mendonca, L. Chen, U. Jain, and D. Pathak, “Affordances from human videos as a versatile representation for robotics,” 2023
2023
Cited alongside, same era.
S. Belkhale, Y. Cui, and D. Sadigh, “Hydra: Hybrid robot actions for imitation learning,” in
2023
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2023
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Z. Wan, X. Wang, C. Liu, S. Alam, Y. Zheng, Z. Qu, S. Yan, Y. Zhu, Q. Zhang, M. Chowdhury
2023
2024
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A. Jaafar, S. S. Raman, Y. Wei, S. E. Juliani, A. Wernerfelt, I. Idrees, J. X. Liu, and S. Tellex, “Lanmp: A multifaceted mobile manipulation benchmark for robots,” in
2024
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2024
Closest in time.
W. Song, H. Zhao, P. Ding, C. Cui, S. Lyu, Y. Fan, and D. Wang, “Germ: A generalist robotic model with mixture-of-experts for quadruped robot,”
2024
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A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, J. Ibarz, B. Ichter, A. Irpan, T. Jackson, S. Jesmonth, N. J. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, K.-H. Lee, S. Levine, Y. Lu, U. Malla, D. Manjunath, I. Mordatch, O. Nachum, C. Parada, J. Peralta, E. Perez, K. Pertsch, J. Quiambao, K. Rao, M. Ryoo, G. Salazar, P. Sanketi, K. Sayed, J. Singh, S. Sontakke, A. Stone, C. Tan, H. Tran, V. Vanhoucke, S. Vega, Q. Vuong, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich, “Rt-1: Robotics transformer for real-world control at scale,” 2023
2023
Cited alongside, same era.
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, X. Chen, K. Choromanski, T. Ding, D. Driess, A. Dubey, C. Finn, P. Florence, C. Fu, M. G. Arenas, K. Gopalakrishnan, K. Han, K. Hausman, A. Herzog, J. Hsu, B. Ichter, A. Irpan, N. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, L. Lee, T.-W. E. Lee, S. Levine, Y. Lu, H. Michalewski, I. Mordatch, K. Pertsch, K. Rao, K. Reymann, M. Ryoo, G. Salazar, P. Sanketi, P. Sermanet, J. Singh, A. Singh, R. Soricut, H. Tran, V. Vanhoucke, Q. Vuong, A. Wahid, S. Welker, P. Wohlhart, J. Wu, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich, “Rt-2: Vision-language-action models transfer web knowledge to robotic control,” 2023
2023
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2023
Cited alongside, same era.
R. Bavishi, E. Elsen, C. Hawthorne, M. Nye, A. Odena, A. Somani, and S. Taşırlar, “Introducing our multimodal models,” 2023. [Online]. Available:
2023
Cited alongside, same era.
G. B. Margolis and P. Agrawal, “Walk these ways: Tuning robot control for generalization with multiplicity of behavior,” in
2023
Cited alongside, same era.
A. Majumdar, K. Yadav, S. Arnaud, Y. J. Ma, C. Chen, S. Silwal, A. Jain, V.-P. Berges, P. Abbeel, J. Malik, D. Batra, Y. Lin, O. Maksymets, A. Rajeswaran, and F. Meier, “Where are we in the search for an artificial visual cortex for embodied intelligence?” 2023
2023
Cited alongside, same era.
Y. Wang, R. Sagawa, and Y. Yoshiyasu, “Learning advanced locomotion for quadrupedal robots: A distributed multi-agent reinforcement learning framework with riemannian motion policies,”
2024
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2024
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2024
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