Zobrazeno 1 - 10
of 928
pro vyhledávání: '"CHENG Shuo"'
Publikováno v:
电力工程技术, Vol 42, Iss 6, Pp 52-63 (2023)
Aiming at the voltage violation problem caused by distributed photovoltaic connected to the distribution network, a distributed voltage control strategy based on consistency algorithm is proposed considering the economy of voltage regulation of batte
Externí odkaz:
https://doaj.org/article/583684399aae4f29979e0bdc1ff298ef
Publikováno v:
电力工程技术, Vol 3, Iss 45, Pp 55-63 (2022)
To solve the direct current (DC) bus overvoltage problem existing in low voltage ride through (LVRT) control of the photovoltaic (PV) grid-connected systems and improve the fault recovery capacity of the grid-connected system,a cost-effective LVRT co
Externí odkaz:
https://doaj.org/article/0f0dd172397c44529afe219c714239fe
Publikováno v:
Archives of Biological Sciences, Vol 73, Iss 1, Pp 135-144 (2021)
Metformin is a drug used to treat type 2 diabetes based on its effectiveness as well as cardiovascular safety. Metformin has been shown to modulate proliferation and migration of vascular smooth muscle cells (VSMCs), but the underlying mechanisms of
Externí odkaz:
https://doaj.org/article/a1a82e075e104615b78fc4b807695f9f
Autor:
Kareer, Simar, Patel, Dhruv, Punamiya, Ryan, Mathur, Pranay, Cheng, Shuo, Wang, Chen, Hoffman, Judy, Xu, Danfei
The scale and diversity of demonstration data required for imitation learning is a significant challenge. We present EgoMimic, a full-stack framework which scales manipulation via human embodiment data, specifically egocentric human videos paired wit
Externí odkaz:
http://arxiv.org/abs/2410.24221
Efficiently detecting target weld seams while ensuring sub-millimeter accuracy has always been an important challenge in autonomous welding, which has significant application in industrial practice. Previous works mostly focused on recognizing and lo
Externí odkaz:
http://arxiv.org/abs/2408.10710
Modeling of nonlinear behaviors with physical-based models poses challenges. However, Koopman operator maps the original nonlinear system into an infinite-dimensional linear space to achieve global linearization of the nonlinear system through input
Externí odkaz:
http://arxiv.org/abs/2405.10145
Publikováno v:
IEEE/ASME Transactions on Mechatronics (2024)
Task and Motion Planning (TAMP) integrates high-level task planning and low-level motion planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic tasks. Optimization-based TAMP focuses on hybrid optimization approac
Externí odkaz:
http://arxiv.org/abs/2404.02817
Solving complex manipulation tasks in household and factory settings remains challenging due to long-horizon reasoning, fine-grained interactions, and broad object and scene diversity. Learning skills from demonstrations can be an effective strategy,
Externí odkaz:
http://arxiv.org/abs/2311.01530
We present a learning-based dynamics model for granular material manipulation. Inspired by the Eulerian approach commonly used in fluid dynamics, our method adopts a fully convolutional neural network that operates on a density field-based representa
Externí odkaz:
http://arxiv.org/abs/2311.00802
Practical Imitation Learning (IL) systems rely on large human demonstration datasets for successful policy learning. However, challenges lie in maintaining the quality of collected data and addressing the suboptimal nature of some demonstrations, whi
Externí odkaz:
http://arxiv.org/abs/2310.14196