Oh J.
20
Coauthors
3
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2019 | 1 |
| 2021 | 2 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Robótica | 3 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 2 |
| Métodos informáticos especiales | 2 |
| Otras ramas de la ingeniería | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 3 |
| Google Scholar | 3 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Edwin Valarezo Anazco | 3 |
| Kim T.S. | 3 |
| Park N. | 2 |
| Rivera P. | 2 |
| Ryu G. | 2 |
| Byun K. | 1 |
| Park H. | 1 |
| Lee S. | 1 |
| Rivera Lopez P. | 1 |
| Al-Antari M.A. | 1 |
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Publicaciones del autor
Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
ArticleAbstract: Human hands can perform complex manipulation of various objects. It is beneficial if anthropomorphicPalabras claves:Anthropomorphic robotic hand, Deep grasping probability network, Deep reinforcement learning, Human grasping hand poses, Natural object grasping and relocation, Natural policy gradientAutores:Al-Antari M.A., Edwin Valarezo Anazco, Kim T.S., Oh J., Park N., Rivera Lopez P., Ryu G.Fuentes:googlescopusHuman-like Object Grasping and Relocation for an Anthropomorphic Robotic Hand with Natural Hand Pose Priors in Deep Reinforcement Learning
Conference ObjectAbstract: Anthropomorphic manipulators such as robotic hands (i.e., agent) can be used to perform complex objePalabras claves:Anthropomorphic Hand Manipulation, Deep Reinforcement Learning., Human-Like Object Grasping, Natural Hand Pose PriorAutores:Byun K., Edwin Valarezo Anazco, Kim T.S., Lee S., Oh J., Park H., Park N., Rivera P.Fuentes:googlescopusReward Shaping to Learn Natural Object Manipulation With an Anthropomorphic Robotic Hand and Hand Pose Priors via On-Policy Reinforcement Learning
Conference ObjectAbstract: A key challenge in reinforcement learning (RL) for robot manipulation is to provide a reward functioPalabras claves:Anthropomorphic robotic hand, Deep reinforcement learning, Hand Poses Priors, object manipulationAutores:Edwin Valarezo Anazco, Jeong J.G., Jung H., Kim T.S., Lee J.H., Oh J., Rivera P., Ryu G.Fuentes:googlescopus