Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Xunyu Zhong"'
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:
Sensors, Vol 22, Iss 11, p 4283 (2022)
Robotics grasp detection has mostly used the extraction of candidate grasping rectangles; those discrete sampling methods are time-consuming and may ignore the potential best grasp synthesis. This paper proposes a new pixel-level grasping detection m
Externí odkaz:
https://doaj.org/article/e26e0e651bad4258b9527b3bca3941ed
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
Publikováno v:
Journal of Control Science and Engineering, Vol 2017 (2017)
A novel approach to fault diagnosis for a class of nonlinear uncertain systems with triangular form is proposed in this paper. It is based on the extended state observer (ESO) of the active disturbance rejection controller and linearization of dynami
Externí odkaz:
https://doaj.org/article/49688365d1a540628f2f71fd992d9f13
Publikováno v:
Sensors, Vol 13, Iss 10, Pp 13464-13486 (2013)
In this paper, a global-state-space visual servoing scheme is proposed for uncalibrated model-independent robotic manipulation. The scheme is based on robust Kalman filtering (KF), in conjunction with Elman neural network (ENN) learning techniques. T
Externí odkaz:
https://doaj.org/article/63fb5c44eb734a2face11b4d45249de8
Publikováno v:
Sensors, Vol 18, Iss 6, p 1749 (2018)
Environment perception is important for collision-free motion planning of outdoor mobile robots. This paper presents an adaptive obstacle detection method for outdoor mobile robots using a single downward-looking LiDAR sensor. The method begins by ex
Externí odkaz:
https://doaj.org/article/8e6d99879d3b48a8873edb1958fc7a09
Publikováno v:
IEEE Robotics and Automation Letters. 8:1571-1578
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c9838fdec272563827de42d80cf41b1
https://doi.org/10.1109/lra.2023.3240372
https://doi.org/10.1109/lra.2023.3240372
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ede1b5267d9681efc9aeb333faeee3
https://doi.org/10.1109/tim.2022.3205687
https://doi.org/10.1109/tim.2022.3205687
Publikováno v:
Neurocomputing. 437:206-217
Current visual servoing methods used in robot manipulation require system modeling and parameters, only working in structured environments. This paper presents a nonparametric visual servoing for a robot manipulator operated in unstructured environme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::604a4a102aab10802611b954f92b6edc
https://doi.org/10.1016/j.neucom.2021.01.029
https://doi.org/10.1016/j.neucom.2021.01.029