Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Sung Kee Park"'
Autor:
Changjoo Nam, Seokjun Lee, Jeongho Lee, Sang Hun Cheong, Dong Hwan Kim, Changhwan Kim, Incheol Kim, Sung-Kee Park
Publikováno v:
IEEE Access, Vol 8, Pp 117900-117920 (2020)
This paper presents a software architecture for robots providing manipulation services autonomously in human environments. In an unstructured human environment, a service robot often needs to perform tasks even without human intervention and prior kn
Externí odkaz:
https://doaj.org/article/9622dec78c5b4ba9a3464ecf069a07a8
Autor:
Brian Y. Cho, Jeongho Lee, Jinhwi Lee, Changhwan Kim, Donghwan Kim, Sung-Kee Park, Sanghun Cheong, Changjoo Nam
Publikováno v:
Intelligent Service Robotics. 14:549-561
We propose a learning-based method to solve the problem of rearranging objects in clutter to obtain a collision-free path for retrieving a target object by a robotic manipulator. The method provides the solutions for what obstacles to remove and wher
Autor:
Sung-Kee Park, Daseul Yang, Changhwan Kim, Donghwan Kim, Yu-Jung Chae, Changjoo Nam, Yoonseob Lim, Doogon Kim
Publikováno v:
International Journal of Social Robotics. 14:589-602
In this paper, we investigate the effect of robot social behaviors in privacy-sensitive situations that are designed to reduce concerns of users regarding privacy invasion. As social robots ought to spend considerable time with humans, there has been
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Autor:
Sang Hun Cheong, Sung-Kee Park, Incheol Kim, Changjoo Nam, Changhwan Kim, Donghwan Kim, Jeongho Lee, Seokjun Lee
Publikováno v:
IEEE Access, Vol 8, Pp 117900-117920 (2020)
This paper presents a software architecture for robots providing manipulation services autonomously in human environments. In an unstructured human environment, a service robot often needs to perform tasks even without human intervention and prior kn
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
IEEE Sensors Journal. 19:10837-10847
This paper suggests a new landmark descriptor for indoor mobile robot navigation with sensor fusion and a global localization method using it. In previous research on robot pose estimation, various landmarks such as geometric features, visual local-i
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 25:463-469
Publikováno v:
Information Sciences. 480:194-210
We propose an object tracking method under large motion in image sequences. Dense sampling and particle filtering have been widely applied to cope with this problem; however, the former is computationally expensive, and the latter is sensitive to loc
Publikováno v:
Robotics and Autonomous Systems. 155:104154