Zobrazeno 1 - 10
of 531
pro vyhledávání: '"LIN Xingyu"'
Autor:
XU Gang, ZHANG Chunhui, ZHANG Zhen, LIU Xiaogang, FENG Yanjun, LIN Xingyu, MA Rongshan, LIU Qianjin, LI Zhengjie
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 2, Pp 44-57 (2023)
The excavation thickness of the coal seam and the corresponding motion space of the overlying strata are so large in the fully-mechanized top coal caving face, that roof accidents are occur easily. In order to understand the mechanism of roof disaste
Externí odkaz:
https://doaj.org/article/0757783b47464bf0b568ef250115a03b
Humanoid robots hold great promise in assisting humans in diverse environments and tasks, due to their flexibility and adaptability leveraging human-like morphology. However, research in humanoid robots is often bottlenecked by the costly and fragile
Externí odkaz:
http://arxiv.org/abs/2403.10506
Learning from demonstration is a powerful method for teaching robots new skills, and having more demonstration data often improves policy learning. However, the high cost of collecting demonstration data is a significant bottleneck. Videos, as a rich
Externí odkaz:
http://arxiv.org/abs/2401.00025
Autor:
Huang Quanhua, Lin Xingyu, He Yunjun, Wang Chengyin, Hu Yi, Ding Hongjun, Jiang Jian, Li Jian
Publikováno v:
E3S Web of Conferences, Vol 185, p 01087 (2020)
The judgment of flow pattern in the wellbore of a liquid-producing gas well is very important to the judgment of its liquid-carrying capacity in the production process. Through mathematical fitting of duns- ROS flow pattern of vertical well, Gould fl
Externí odkaz:
https://doaj.org/article/7c038a92380747b08009c530e9661d52
Autor:
Huang Quanhua, Lin Xingyu, He Yunjun, Wang Chengyin, Hu Yi, Ding Hongjun, Jiang Jian, Li Jian
Publikováno v:
E3S Web of Conferences, Vol 185, p 01076 (2020)
It is very important to calculate the critical liquid-carrying flow for gas well.In this paper, an ellipsoid droplet model is established. By analyzing the droplet force in the inclined well and comprehensively considering the droplet drag force, gra
Externí odkaz:
https://doaj.org/article/60bb935a2db9456791abfd64ee19f5df
Autonomous systems that efficiently utilize tools can assist humans in completing many common tasks such as cooking and cleaning. However, current systems fall short of matching human-level of intelligence in terms of adapting to novel tools. Prior w
Externí odkaz:
http://arxiv.org/abs/2310.00156
Humans can teleoperate robots to accomplish complex manipulation tasks. Imitation learning has emerged as a powerful framework that leverages human teleoperated demonstrations to teach robots new skills. However, the performance of the learned polici
Externí odkaz:
http://arxiv.org/abs/2309.13037
The existing internet-scale image and video datasets cover a wide range of everyday objects and tasks, bringing the potential of learning policies that generalize in diverse scenarios. Prior works have explored visual pre-training with different self
Externí odkaz:
http://arxiv.org/abs/2307.03567
We introduce RoboNinja, a learning-based cutting system for multi-material objects (i.e., soft objects with rigid cores such as avocados or mangos). In contrast to prior works using open-loop cutting actions to cut through single-material objects (e.
Externí odkaz:
http://arxiv.org/abs/2302.11553
Publikováno v:
International Conference on Robotics and Automation 2023
State estimation is one of the greatest challenges for cloth manipulation due to cloth's high dimensionality and self-occlusion. Prior works propose to identify the full state of crumpled clothes by training a mesh reconstruction model in simulation.
Externí odkaz:
http://arxiv.org/abs/2302.09502