Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Xiafu Peng"'
Publikováno v:
IET Signal Processing, Vol 16, Iss 4, Pp 490-500 (2022)
Abstract In order to establish a unified spatial reference for the whole ship, inertial matching measurement of hull deformation is widely used because of its continuity and concealment. However, the vibration‐shock signal of shipborne equipment of
Externí odkaz:
https://doaj.org/article/7635f2fb491d47c8ac16f6b2f7cc61eb
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 6876 (2023)
The inspiration for the footed robot was originally derived from biology, and it was an imitation of biological form and movement. In this paper, a bionic-robot dog is designed to reveal the motion characteristics of a quadruped robot mechanism throu
Externí odkaz:
https://doaj.org/article/d4bab6f6635442c59fbf0243efaeae8e
Publikováno v:
IET Control Theory & Applications, Vol 15, Iss 9, Pp 1286-1296 (2021)
Abstract In this paper, a novel trajectory tracking control method of nonholonomic mobile robots based on the non‐negative piecewise predefined‐time theorem is proposed. The idea of cascade control is used to divide the posture error system of th
Externí odkaz:
https://doaj.org/article/b3a0e7e1309a484a9e9a5ee757112b29
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3664 (2023)
With the progress and development of AI technology and industrial automation technology, AI robot dogs are widely used in engineering practice to replace human beings in high-precision and tedious industrial operations. Bionic robots easily produce c
Externí odkaz:
https://doaj.org/article/8bb9b0ec7bf54d0bb487307081034fe7
Publikováno v:
IEEE Access, Vol 9, Pp 31908-31920 (2021)
This paper devotes to the adaptive globally synchronization within predefined-time of two time-delayed fractional-order chaotic systems. Firstly, through fractional calculus, two novel different fractional-order systems with time-delay are proposed,
Externí odkaz:
https://doaj.org/article/e1ba788088954f0f91fe34184986fe54
Publikováno v:
IEEE Access, Vol 9, Pp 36634-36644 (2021)
Inertial matching measurement method has been widely used to measure hull deformation in real time to establish a unified attitude reference for ships in previous decades, but most current methods were based on linear error model which adopted small
Externí odkaz:
https://doaj.org/article/938575c7c68a4fc2a52f11d17d9c8369
Publikováno v:
IEEE Access, Vol 8, Pp 46081-46091 (2020)
Although a number of fault diagnosis algorithms for inertial sensors have been proposed in previous decades, the performance of these algorithms needs to be improved with regard to small faults. In this paper, we introduce a data driven-based algorit
Externí odkaz:
https://doaj.org/article/5141fdb836b94263ab3d949a1d7107d5
Publikováno v:
IEEE Access, Vol 7, Pp 76891-76901 (2019)
This paper focuses on the solutions to flexibly regulate robotic by vision. A new visual servoing technique based on the Kalman filtering (KF) combined neural network (NN) is developed, which need not have any calibration parameters of robotic system
Externí odkaz:
https://doaj.org/article/8cf73a868249466594809d81473f705f
Publikováno v:
IEEE Access, Vol 7, Pp 148142-148151 (2019)
Depth estimation from a single image plays an important role in 3D scene perception. Owing to the development of deep convolutional neural networks (CNNs), monocular depth estimation models have achieved a large number of exciting results. However, t
Externí odkaz:
https://doaj.org/article/b33d9ee4da46493da83e84250a575dc2
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
Estimating scene depth, predicting camera motion and localizing dynamic objects from monocular videos are fundamental but challenging research topics in computer vision. Deep learning has demonstrated an amazing performance for these tasks recently.
Externí odkaz:
https://doaj.org/article/ea2a5d4b52d6478284d1a8b53fa805cc