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Implementation of a unified simulation for robot arm control with object detection based on ROS and Gazebo
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Hyeonchul | - |
| dc.contributor.author | Kim, Minseo | - |
| dc.contributor.author | Chen, Yeheng | - |
| dc.contributor.author | Min, Hyung Gi | - |
| dc.contributor.author | Park, Taejoon | - |
| dc.date.accessioned | 2021-06-22T09:22:04Z | - |
| dc.date.available | 2021-06-22T09:22:04Z | - |
| dc.date.issued | 2020-07 | - |
| dc.identifier.issn | 2325-033X | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1818 | - |
| dc.description.abstract | In this paper, we present a method to implement a robotic system with deep learning-based object detection in a simulation environment. The simulation environment is developed in Gazebo and run on Robot Operating System(ROS). ROS is a set of open-source software libraries that aims to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms. Gazebo is the convenient 3D simulator for use along with ROS. This paper introduces the steps to create a robot arm system controlled by ROS and object detection system using images from camera in Gazebo environment. © 2020 IEEE. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Implementation of a unified simulation for robot arm control with object detection based on ROS and Gazebo | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/UR49135.2020.9144984 | - |
| dc.identifier.scopusid | 2-s2.0-85094326566 | - |
| dc.identifier.wosid | 000612835600059 | - |
| dc.identifier.bibliographicCitation | 2020 17th International Conference on Ubiquitous Robots, UR 2020, pp 368 - 372 | - |
| dc.citation.title | 2020 17th International Conference on Ubiquitous Robots, UR 2020 | - |
| dc.citation.startPage | 368 | - |
| dc.citation.endPage | 372 | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Robotics | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Robotics | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/9144984 | - |
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Related Researcher
- Park, Taejoon
- ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)