Al-Khayyat, Abdulrahman Tareq AliIbrahim, Abdullahi2021-05-152021-05-1520209781728190907https://doi.org/10.1109/ISMSIT50672.2020.9255302https://hdl.handle.net/20.500.12939/10454th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025Mobile robotics is a valuable tool for exploring environments inaccessible to humans due to their remoteness, cost or danger, and for performing unpleasant or laborious tasks. It is a relatively new field, until recently experimental, but it is already being applied to real problems with satisfactory results, 3D simulation plays a relevant role in both the design and control of mobile robots. It allows to reflect the situation of the real robot or simulate hypothetical scenarios. At the same time, it provides a graphical interface for robot control, in this paper, we present a scheme for guiding a robot into an uncharted area by using the fuzzy c-means segmentation algorithm and k-NN classification to classify the safe and unsafe areas, our method proves to be fast with satisfactory results in terms of both segmentation, classification, and correct path planning. © 2020 IEEE.eninfo:eu-repo/semantics/closedAccessClassificationFCMFuzzyKNNPath PlanningRobotSegmentationConference Object10.1109/ISMSIT50672.2020.92553022-s2.0-85097677344N/A