Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Ji-Hun Bae"'
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
This paper presents a teleoperation system of robot grasping for undefined objects based on a real-time EEG (Electroencephalography) measurement and shared autonomy. When grasping an undefined object in an unstructured environment, real-time human de
Externí odkaz:
https://doaj.org/article/9d8b3d12e62c4460be5dd065242662ba
Publikováno v:
Electronics Letters, Vol 58, Iss 25, Pp 966-968 (2022)
Abstract With the expansion of robots, researchers have focused on robot tasks with waterproof functions. Although numerous underwater‐robot studies have been published recently, there has been minimal research on the waterproofing of robotic hands
Externí odkaz:
https://doaj.org/article/72e72297516b4b93809646e786b23dce
Autor:
Ji-Hun Bae, Gwang-Hyun Yu, Ju-Hwan Lee, Dang Thanh Vu, Le Hoang Anh, Hyoung-Gook Kim, Jin-Young Kim
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9176 (2022)
Graph convolutional neural networks (GCNNs) have been successfully applied to a wide range of problems, including low-dimensional Euclidean structural domains representing images, videos, and speech and high-dimensional non-Euclidean domains, such as
Externí odkaz:
https://doaj.org/article/893d09e9cb6c4c7984c85135ebbf5470
Autor:
Sangchul Han, Myoung-Su Choi, Yong-Woo Shin, Ga-Ram Jang, Dong-Hyuk Lee, Jungsan Cho, Jae-Han Park, Ji-Hun Bae
Publikováno v:
Robotics, Vol 11, Iss 1, p 18 (2022)
Conventional assembly methods using robots need to change end-effectors or operate two robot arms for assembly. In this study, we propose a screwdriving gripper that can perform the tasks required for the assembly using a single robot arm. The propos
Externí odkaz:
https://doaj.org/article/47735b925be7490fa8c5c5a5034263c8
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2587 (2021)
In the workspace of robot manipulators in practice, it is common that there are both static and periodic moving obstacles. Existing results in the literature have been focusing mainly on the static obstacles. This paper is concerned with multi-arm ma
Externí odkaz:
https://doaj.org/article/c83a380d51c6454db557d91621296fe4
Publikováno v:
Sensors, Vol 20, Iss 20, p 5911 (2020)
Since path planning for multi-arm manipulators is a complicated high-dimensional problem, effective and fast path generation is not easy for the arbitrarily given start and goal locations of the end effector. Especially, when it comes to deep reinfor
Externí odkaz:
https://doaj.org/article/aa0d5f02b1fe49e2b2bcf2dd60120d9c
Publikováno v:
Modelling and Simulation in Engineering, Vol 2017 (2017)
This paper proposes a method based on simulation techniques for fluctuation characterizations of unmanned surface vehicle (USV) operations under Sea State 3. In order to simulate the operations of a USV in Sea State 3, we generated the data of sea su
Externí odkaz:
https://doaj.org/article/4b9b63ae70d9498e9ad96aac0f3855f6
Publikováno v:
Sensors, Vol 12, Iss 7, Pp 8640-8662 (2012)
This study proposes a mathematical uncertainty model for the spatial measurement of visual features using Kinect™ sensors. This model can provide qualitative and quantitative analysis for the utilization of Kinect™ sensors as 3D perception sensor
Externí odkaz:
https://doaj.org/article/0ea189d2153848a287b56ae8a1210c10
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 11 (2014)
Since neural oscillator based control methods can generate rhythmic motion without information on system dynamics, they can be a promising alternative to traditional motion planning based control approaches. However, for field application, they still
Externí odkaz:
https://doaj.org/article/dd04a1652a224371865dd3dab39ef206
Publikováno v:
IEEE Robotics and Automation Letters. 7:8566-8573