Zobrazeno 1 - 7
of 7
pro vyhledávání: '"SeungYoon Choi"'
Publikováno v:
Symmetry, Vol 11, Iss 2, p 290 (2019)
In this paper, we propose a controller for a bicycle using the DDPG (Deep Deterministic Policy Gradient) algorithm, which is a state-of-the-art deep reinforcement learning algorithm. We use a reward function and a deep neural network to build the con
Externí odkaz:
https://doaj.org/article/8b969cc31ac149ab82a460dd86f92968
Autor:
최유범 ( Yu Bum Choi ), 김정현 ( Jung Hyun Kim ), 최승윤 ( Seungyoon Choi ), 이미정 ( Mi Jung Lee ), 김형종 ( Hyung Jong Kim )
Publikováno v:
The Korean Journal of Medicine. 95:36-42
Background/Aims: Maintaining vascular access (VA) is very important in the management of hemodialysis (HD) patients. Therefore, the identification of risk factors for decreased vascular access flow has clinical relevance. The aim of the present study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e9ecb86b0e837c177131540db7baecd
https://doi.org/10.3904/kjm.2020.95.1.36
https://doi.org/10.3904/kjm.2020.95.1.36
Publikováno v:
Journal of Intelligent & Robotic Systems. 87:265-290
We propose a novel approach to deal with the online complete-coverage task of cleaning robots in unknown workspaces with arbitrarily-shaped obstacles. Our approach is based on the boustrophedon motions, the boundary-following motions, and the Theta*
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5aecf8d8d1f5c77ad95dcdff948d16
https://doi.org/10.1007/s10846-017-0485-x
https://doi.org/10.1007/s10846-017-0485-x
Publikováno v:
Symmetry, Vol 11, Iss 2, p 290 (2019)
Symmetry
Volume 11
Issue 2
Symmetry
Volume 11
Issue 2
In this paper, we propose a controller for a bicycle using the DDPG (Deep Deterministic Policy Gradient) algorithm, which is a state-of-the-art deep reinforcement learning algorithm. We use a reward function and a deep neural network to build the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b28d46fbb134a1b9e171075188a120f4
https://www.mdpi.com/2073-8994/11/2/290
https://www.mdpi.com/2073-8994/11/2/290
Publikováno v:
Applied Intelligence. 42:157-173
Online complete coverage is required in many applications, such as in floor cleaning, lawn mowing, mine hunting, and harvesting, and can be performed by single- or multi-robot systems. Motivated by the efficiency and robustness of multi-robot systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55b6b0d8a29bfb5c9b94dbeb680aef55
https://doi.org/10.1007/s10489-014-0571-8
https://doi.org/10.1007/s10489-014-0571-8
Publikováno v:
Journal of Central South University. 20:1178-1188
A novel approach was presented to solve the navigation problem of autonomous mobile robots in unknown environments with dense obstacles based on a univector field method. In an obstacle-free environment, a robot is ensured to reach the goal position
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a0a86d87f903be5a17db4af6324ddba
https://doi.org/10.1007/s11771-013-1601-0
https://doi.org/10.1007/s11771-013-1601-0
Publikováno v:
2013 13th International Conference on Control, Automation and Systems (ICCAS 2013).
This paper presents a novel approach to deal with the online complete coverage problem for a team of robots in unknown environments. In our approach each robot covers an unvisited region using a single boustrophedon motion until a robot reaches an en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78bb4dca4eb317e2c5475e6261a3ff55
https://doi.org/10.1109/iccas.2013.6704048
https://doi.org/10.1109/iccas.2013.6704048