Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Xungao Zhong"'
Publikováno v:
Machines, Vol 12, Iss 8, p 506 (2024)
Objects in cluttered environments may have similar sizes and shapes, which remains a huge challenge for robot grasping manipulation. The existing segmentation methods, such as Mask R-CNN and Yolo-v8, tend to lose the shape details of objects when dea
Externí odkaz:
https://doaj.org/article/53732cb5218747e5b645c0696d05e762
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5097 (2024)
Grasping robots always confront challenges such as uncertainties in object size, orientation, and type, necessitating effective feature augmentation to improve grasping detection performance. However, many prior studies inadequately emphasize grasp-r
Externí odkaz:
https://doaj.org/article/a7314a1e7ab5418fb0b2b5cf43c9a368
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:
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:
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:
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:
2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c24a816e8e957ebf61686c9eb6c2b76
https://doi.org/10.1109/iccasit55263.2022.9986800
https://doi.org/10.1109/iccasit55263.2022.9986800
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
Publikováno v:
2022 IEEE 5th International Conference on Electronics Technology (ICET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96dc658774ae19ed3b704f7654981d3
https://doi.org/10.1109/icet55676.2022.9825184
https://doi.org/10.1109/icet55676.2022.9825184
Publikováno v:
Journal of Physics: Conference Series. 2402:012010
With the rise of augmented reality and autonomous driving, visual SLAM (simultaneous localization and mapping) has become the focus of research again. Visual odometry is an important part of visual SLAM. Too dark or too strong light will reduce the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12e76049f366beba1302ab36c08d0ab5
https://doi.org/10.1088/1742-6596/2402/1/012010
https://doi.org/10.1088/1742-6596/2402/1/012010