Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Qiuxuan Wu"'
Publikováno v:
Biomimetics, Vol 9, Iss 4, p 248 (2024)
Soft robotics is closely related to embodied intelligence in the joint exploration of the means to achieve more natural and effective robotic behaviors via physical forms and intelligent interactions. Embodied intelligence emphasizes that intelligenc
Externí odkaz:
https://doaj.org/article/c5205e57c1f1460ebcd2d5677e960f61
Autor:
Xiaoni Chi, Caibin Wang, Qiuxuan Wu, Junze Yang, Weijie Lin, Pingliang Zeng, Huifang Li, Mingyuan Shao
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101427- (2023)
When the PMSM motor rotates at high speed, the motor winding current contains a lot of harmonics, and the harmonic current will increase the heat of the motor, thereby reducing the operating efficiency and service life of the motor. In view of the ab
Externí odkaz:
https://doaj.org/article/433a9700f105439fa00208591bea65b0
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 3854-3872 (2023)
Repeatability is an important attribute of motor unit number index (MUNIX) technology. This paper proposes an optimal contraction force combination for MUNIX calculation in an effort to improve the repeatability of this technology. In this study, the
Externí odkaz:
https://doaj.org/article/61e1c5cf63304c24ae16ada03873f14b
Autor:
Xiaoni Chi, Qiuxuan Wu, Tengfei Guo, Weijie Lin, Chenxi Wu, Ping Luo, Pingliang Zeng, Yanbin Luo
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1405-1414 (2022)
Residential energy consumption has increased rapidly with the improvement of living standards of Chinese households, in particular, heating demand in North China has a direct impact on the haze. The integration of renewable energy with the combined h
Externí odkaz:
https://doaj.org/article/65eb692b9b14446cbdfbbb4110609179
Publikováno v:
IEEE Access, Vol 10, Pp 127540-127549 (2022)
Simultaneous Localization and Mapping (SLAM) is the core technology of intelligent substation inspection robot. Because of lightweight computation, Rao-Blackwellized Particle Filter (RBPF) is widely used in two-dimensional SLAM. However, it suffers f
Externí odkaz:
https://doaj.org/article/d62ef4950ff94de58af95cad7c535e39
Autor:
Qiuxuan Wu, Yan Wu, Xiaochen Yang, Botao Zhang, Jian Wang, Sergey A Chepinskiy, Anton A Zhilenkov
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
The soft organisms in nature have always been a source of inspiration for the design of soft arms and this paper draws inspiration from the octopus’s tentacle, aiming at a soft robot for moving flexibly in three-dimensional space. In the paper, com
Externí odkaz:
https://doaj.org/article/0aac6b82339d4940ba617952cdce0a6a
Autor:
Qiuxuan Wu, Yongmei Jiang, Ting Shi, Jinzi Miao, Bing Qi, Rongguang Du, Yanbin Luo, Xiaoni Chi
Publikováno v:
IEEE Access, Vol 8, Pp 215977-215986 (2020)
Haze has a significant impact on photovoltaic (PV) power generation. When the fine particulate matter reaches a certain concentration, it becomes the main factor affecting solar irradiance and seriously reduces PV power generation, but few quantitati
Externí odkaz:
https://doaj.org/article/550de707459b4af7954fd48e177685a6
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4387 (2022)
In this paper, a gait classification method based on the deep belief network (DBN) optimized by the sparrow search algorithm (SSA) is proposed. The multiple features obtained based on surface electromyography (sEMG) are fused. These functions are use
Externí odkaz:
https://doaj.org/article/8e3157f2cfee440ab198af46a3764264
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 10, p 1406 (2022)
Due to the unknown motion model and the complexity of the environment, the problem of target tracking for autonomous underwater vehicles (AUVs) became one of the major difficulties in model-based controllers. Therefore, the target tracking task of AU
Externí odkaz:
https://doaj.org/article/5d71b4dd7ca74294a897e7f5c22d3f3c
Autor:
Qiuxuan Wu, Qinyuan Meng, Yangyang Tian, Zhongrong Zhou, Cenfeng Luo, Wandeng Mao, Pingliang Zeng, Botao Zhang, Yanbin Luo
Publikováno v:
Sensors, Vol 22, Iss 17, p 6716 (2022)
To improve the motion distortion caused by LiDAR data at low and medium frame rates when moving, this paper proposes an improved algorithm for scanning matching of estimated velocity that combines an IMU and odometer. First, the information of the IM
Externí odkaz:
https://doaj.org/article/2bd97ec7a9f34b2ca48a3e78117ae178