Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ouyang, Yutao"'
We present a large language model (LLM) based system to empower quadrupedal robots with problem-solving abilities for long-horizon tasks beyond short-term motions. Long-horizon tasks for quadrupeds are challenging since they require both a high-level
Externí odkaz:
http://arxiv.org/abs/2404.05291
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
We aim to control a robot to physically behave in the real world following any high-level language command like "cartwheel" or "kick". Although human motion datasets exist, this task remains particularly challenging since generative models can produc
Externí odkaz:
http://arxiv.org/abs/2306.10518
Autor:
Ren, Tianxiang, Yu, Jubo, Guo, Shihui, Ma, Ying, Ouyang, Yutao, Zeng, Zijiao, Zhang, Yazhan, Qin, Yipeng
In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often $>$10) frames as input, which are not always accessible. Our work deals with a focused yet chall
Externí odkaz:
http://arxiv.org/abs/2303.14457
We aim to control a robot to physically behave in the real world following any high-level language command like "cartwheel" or "kick. " Although human motion datasets exist, this task remains particularly challenging since generative models can produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::276893d1f4d646c8584f2106f2428b6e
Publikováno v:
IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2024 Feb 07; Vol. PP. Date of Electronic Publication: 2024 Feb 07.
