Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Shogo Arai"'
Publikováno v:
IEEE Access, Vol 12, Pp 47110-47118 (2024)
Visual servo control uses images that are obtained by a camera for robotic control. This study focuses on the problem of positioning a target object using a robotic manipulator with image-based visual servo (IBVS) control. To perform the positioning
Externí odkaz:
https://doaj.org/article/da58003e7d9b49308ee875e7c6b52e2a
Publikováno v:
IEEE Access, Vol 9, Pp 50857-50871 (2021)
Pose estimation that locates objects in a bin is necessary for a robotic bin picking system. Although many algorithms have shown high performance in pose estimation, most algorithms estimate the poses of objects regardless of their occlusion. This ca
Externí odkaz:
https://doaj.org/article/62cbeec622db4a66bc5a09799de64ac9
Publikováno v:
IEEE Access, Vol 9, Pp 91820-91835 (2021)
We propose a CNN based visual servoing scheme for precise positioning of an eye-to-hand manipulator in which the control input of a robot is calculated directly from images by a neural network. In this paper, we propose Difference of Encoded Features
Externí odkaz:
https://doaj.org/article/f5ad7e54caef4453bd2ee46f65b8f32b
Publikováno v:
IEEE Access, Vol 9, Pp 117132-117139 (2021)
In this paper, we propose a novel tactile servoing based pressure distribution control scheme of a manipulator using a convolutional neural network (CNN). The CNN significantly improves the performance of the tactile servoing scheme compared to the o
Externí odkaz:
https://doaj.org/article/1c205dd6fbc1414698bc783fc5c46a32
Publikováno v:
IEEE Access, Vol 8, Pp 70262-70269 (2020)
3D Instance segmentation is a fundamental task in computer vision. Effective segmentation plays an important role in robotic tasks, augmented reality, autonomous driving, etc. With the ascendancy of convolutional neural networks in 2D image processin
Externí odkaz:
https://doaj.org/article/919b83e66f8d40de8b895101eb465da6
Publikováno v:
IEEE Access, Vol 8, Pp 90340-90350 (2020)
This paper proposes a fast and highly accurate prediction method for the reaching motions performed by a worker in cooperative work with a robot, called fast prediction of reaching motion (F-PREMO). Cooperative work is permitted by a 2011 ISO revisio
Externí odkaz:
https://doaj.org/article/d58e1ff366f5494993a98d2f86ce5d13
Publikováno v:
IEEE Access, Vol 8, Pp 189556-189564 (2020)
3D keypoint is widely used for object recognition and pose estimation with a 3D point cloud since it has robustness against measurement noise and occlusion. Many types of 3D keypoints and the corresponding detection methods of 3D keypoints have been
Externí odkaz:
https://doaj.org/article/011c5e32b5f246e2a0800298a3e48d39
Autor:
Vladimiros Thoma, Stephan Knapek, Shogo Arai, Marion Hartl, Hiroshi Kohsaka, Pudith Sirigrivatanawong, Ayako Abe, Koichi Hashimoto, Hiromu Tanimoto
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
Locating food sources is essential for the survival of animals. Here, the authors identify two functionally and anatomically distinct classes of sweet taste receptor neurons in Drosophila legs, involved in feeding initiation and sugar-dependent suppr
Externí odkaz:
https://doaj.org/article/e3094dfba4fd401aa090fb665efd6bf3
Publikováno v:
Sensors, Vol 18, Iss 8, p 2719 (2018)
Automation of the bin picking task with robots entails the key step of pose estimation, which identifies and locates objects so that the robot can pick and manipulate the object in an accurate and reliable way. This paper proposes a novel point pair
Externí odkaz:
https://doaj.org/article/cc76dbf0b4b646d59ecfb1d44d0efd0c
Publikováno v:
Sensors, Vol 17, Iss 1, p 96 (2017)
Machine vision systems have been widely used for image analysis, especially that which is beyond human ability. In biology, studies of behavior help scientists to understand the relationship between sensory stimuli and animal responses. This typicall
Externí odkaz:
https://doaj.org/article/5238b7d590c34a7dbb770dae3f0df13a