Okumuş, FatihKocamaz, Adnan Fatih2021-08-252021-08-252019Okumuş, F., & Kocamaz, A. F. (2019, September). Cloud based indoor navigation for ros-enabled automated guided vehicles. In 2019 International Artificial Intelligence and Data Processing Symposium (IDAP) (pp. 1-4). IEEE.978-172812932-7https://doi.org/10.1109/IDAP.2019.8875993https://hdl.handle.net/20.500.12899/360In Cyber-Physical Systems, logistical activities with automatic guided vehicles (AGV) are indispensable for Industry 4.0 integration. In order to navigate the AGVs to be used in logistics, difficulties such as localization of AGV, mapping the environment, mobile-immobile obstacle avoidance, and optimum task allocation must be overcome. All these operations can be realized with an architecture that provides communication infrastructure and management mechanism in multiple robots. In this publication, cloud-based, ROS-enabled communication and navigation methods for multiple AGVs are proposed. The proposed method was tested and applied successfully in a laboratory environment.eninfo:eu-repo/semantics/closedAccessCyber-physical systemsAGVNavigationROSCloud roboticsCloud Based Indoor Navigation for ROS-enabled Automated Guided VehiclesConference Object10.1109/IDAP.2019.8875993142-s2.0-85074876366