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Developing versatile quadruped robots that can smoothly perform various actions and tasks in real-world environments remains a significant challenge.
2021
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J. Xu, X. Liu, Y. Bai, J. Jiang, K. Wang, X. Chen, and X. Ji, “Multi-camera collaborative depth prediction via consistent structure estimation,” in Proceedings of the 30th ACM International Conference on Multimedia , 2022, pp. 2730–2738
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M. Ahn, A. Brohan, N. Brown, et al. , “Do as i can, not as i say: Grounding language in robotic affordances,” in Conference on Robot Learning , 2022. [Online]. Available: https://api.semanticscholar.org/CorpusID:247939706
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D. Driess, F. Xia, M. S. M. Sajjadi, et al. , “Palm-e: An embodied multimodal language model,” in International Conference on Machine Learning , 2023. [Online]. Available: https://api.semanticscholar.org/CorpusID:257364842
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Y. Cai, S. Yang, M. Li, X. Chen, Y. Mao, X. Yi, and W. Yang, “Task2morph: Differentiable task-inspired framework for contact-aware robot design,” in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2023, pp. 452–459
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A. O’Neill, A. Rehman, A. Maddukuri, et al. , “Open x-embodiment: Robotic learning datasets and rt-x models : Open x-embodiment collaboration0,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024, pp. 6892–6903
2024
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2024
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A. Majumdar, K. Yadav, S. Arnaud, et al. , “Where are we in the search for an artificial visual cortex for embodied intelligence?” 2023
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G. B. Margolis and P. Agrawal, “Walk these ways: Tuning robot control for generalization with multiplicity of behavior,” in Proceedings of The 6th Conference on Robot Learning , ser. Proceedings of Machine Learning Research, K. Liu, D. Kulic, and J. Ichnowski, Eds., vol. 205. PMLR, 14–18 Dec 2023, pp. 22–31
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2024
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J. Xu, W. Yin, D. Gong, J. Jiang, and X. Liu, “Sdge: Stereo guided depth estimation for 360° camera sets,” in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2024, pp. 11 179–11 186
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2024
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2024
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2024
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2024
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