Implementation of a unified simulation for robot arm control with object detection based on ROS and Gazebo
- Title
- Implementation of a unified simulation for robot arm control with object detection based on ROS and Gazebo
- Author
- 박태준
- Issue Date
- 2020-07
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2020 17th International Conference on Ubiquitous Robots, UR 2020, article no. 9144984, Page. 368-372
- 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.
- URI
- https://ieeexplore.ieee.org/document/9144984https://repository.hanyang.ac.kr/handle/20.500.11754/178709
- DOI
- 10.1109/UR49135.2020.9144984
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ROBOT ENGINEERING(로봇공학과) > Articles
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