Software Framework of Autonomous Mobile Robots on Isaac Sim and ROS

Mahfud Jiono, Hsien I. Lin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The purpose of this research is to address the increasing significance of autonomous mobile robots (AMR) in military applications. Several researchers have made significant investments in AMR development, recognizing the urgency of enhancing their capabilities in preparation for potential threats in factory environments. The research aims to integrate key technologies essential for polishing robots in the factory using Isaac Sim and the ROS framework. This includes the use of AI and sensor fusion technology for robot movement, as well as for detecting and tracking obstacles, target objects, and the formation control of the AMR itself. The outcomes of our experiments have been promising. We have effectively defined and executed a sequence of arm robot positions. The robots start from the initial position, proceed to the predetermined second point, and subsequently advance to the position goal point before returning to their starting point. Concerning mobile robot movement control, we have established target positions to demonstrate the robot's capabilities.

Original languageEnglish
Title of host publication2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages158-163
Number of pages6
ISBN (Electronic)9798350315684
DOIs
StatePublished - 2023
Event11th International Conference on Control, Mechatronics and Automation, ICCMA 2023 - Hybrid, Grimstad, Norway
Duration: 1 Nov 20233 Nov 2023

Publication series

Name2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023

Conference

Conference11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
Country/TerritoryNorway
CityHybrid, Grimstad
Period1/11/233/11/23

Keywords

  • AMR robot
  • Isaac Sim simulation
  • Robot formation control
  • ROS framework

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