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Implementation of a unified simulation for robot arm control with object detection based on ROS and Gazebo
- Issue Date
- Jul-2020
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2020 17th International Conference on Ubiquitous Robots, UR 2020, pp 368 - 372
- Pages
- 5
- Indexed
- SCIE
SCOPUS
- Journal Title
- 2020 17th International Conference on Ubiquitous Robots, UR 2020
- Start Page
- 368
- End Page
- 372
- ISSN
- 2325-033X
- 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.
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Related Researcher
- Park, Taejoon
- ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)