Okumus, FatihKocamaz, Adnan Fatih2024-08-042024-08-042018978-1-5386-6878-8https://hdl.handle.net/11616/98688International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYStrengthening the infrastructure of the Internet has made global data access easier and so cloud computing is at the forefront. Cloud technologies are used in the many work area, because they provide big data storage capacity, low computational costs and scalable data management. Cloud robotics, a special form of cloud computing, manages mobile robots with the advantages mentioned above, as well as providing a telepathic agreement mechanism among the robots. This work presents the development of a software platform for managing cloud-based operations such as simultaneous localization and mapping (SLAM), path planning and optimum task distribution for mobile robots. Demonstration software has also been implemented in the study, which provides a simulation environment that allows testing of the developed system. At the end of the study, the cloud software was tested with the demonstration application and the test results were shown.eninfo:eu-repo/semantics/closedAccessCloud roboticsoptimum task distributionSLAMpath planningExploring the Feasibility of a Multifunctional Software Platform for Cloud RoboticsConference Object2-s2.0-85062513648N/AWOS:000458717400142N/A