Zobrazeno 1 - 10
of 2 729
pro vyhledávání: '"Li Zhibin"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 2, Pp 205-213 (2024)
The numerical calculation model for the aero-acoustic analysis of a tilt rotor was established by combining the free wake method and the FW-H (Ffowcs Williams-Hawkings) equation. The numerical method was validated by using the tilt rotor′s aero-aco
Externí odkaz:
https://doaj.org/article/7c7a6fdfdccc435ca74e677f11cecf35
Publikováno v:
Jixie chuandong, Vol 48, Pp 1-7 (2024)
The coincidence degree is an important parameter to reflect the number of meshing teeth of gear pairs at the same time. The appropriate coincidence degree of reasonable selection can improve transmission bearing capacity and ensure transmission stabi
Externí odkaz:
https://doaj.org/article/d4890033c13745dcaf1c578873d6f3e0
Autor:
Li Zhibin
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
From the perspective of integrating social resources, the pre-incubator provides specialized training for college talents through in-depth cooperation between enterprises or governments and colleges and universities and guides the high-quality develo
Externí odkaz:
https://doaj.org/article/24d3426b766d41e4b2ce1a84d483424c
Publikováno v:
Jixie chuandong, Vol 47, Pp 23-29 (2023)
Planetary herringbone gears are increasingly used in the high-power marine transmission system. In order to meet the noise requirements of transmission system of modern ships, the vibration reduction design of planetary herringbone gear transmission
Externí odkaz:
https://doaj.org/article/733abf550122484b83bcc83fc5e30150
Reinforcement learning-based quadruped robots excel across various terrains but still lack the ability to swim in water due to the complex underwater environment. This paper presents the development and evaluation of a data-driven hydrodynamic model
Externí odkaz:
http://arxiv.org/abs/2410.00490
Large Language Models (LLMs) have been increasingly used in real-world settings, yet their strategic decision-making abilities remain largely unexplored. To fully benefit from the potential of LLMs, it's essential to understand their ability to funct
Externí odkaz:
http://arxiv.org/abs/2407.04467
Grounding natural language to the physical world is a ubiquitous topic with a wide range of applications in computer vision and robotics. Recently, 2D vision-language models such as CLIP have been widely popularized, due to their impressive capabilit
Externí odkaz:
http://arxiv.org/abs/2406.18742
Autor:
Mao, Xiaofeng, Giudici, Gabriele, Coppola, Claudio, Althoefer, Kaspar, Farkhatdinov, Ildar, Li, Zhibin, Jamone, Lorenzo
Effective execution of long-horizon tasks with dexterous robotic hands remains a significant challenge in real-world problems. While learning from human demonstrations have shown encouraging results, they require extensive data collection for trainin
Externí odkaz:
http://arxiv.org/abs/2405.03476
Autor:
McCarthy, Robert, Tan, Daniel C. H., Schmidt, Dominik, Acero, Fernando, Herr, Nathan, Du, Yilun, Thuruthel, Thomas G., Li, Zhibin
Scaling deep learning to massive, diverse internet data has yielded remarkably general capabilities in visual and natural language understanding and generation. However, data has remained scarce and challenging to collect in robotics, seeing robot le
Externí odkaz:
http://arxiv.org/abs/2404.19664
To quantitatively provide reliable predictions for the hot and dense QCD matter, a holographic model should be adjusted to describe first-principles lattice results available at vanishing baryon chemical potential. The equation of state from two well
Externí odkaz:
http://arxiv.org/abs/2404.12109