Author(s): Amrutha Salunkhe, Prof. M. N. Kakatkar
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Volume. 6 - Issue. 07 , July - 2017
The Simultaneous Localization and Mapping (SLAM) of indoor wireless mobile robotics. Localization, map building and wireless communication are essential tasks for an autonomous mobile robot's in unknown environments. Simultaneous Localization and Mapping is a strategy that utilized for making a 2D, 3D maps of an unfamiliar environment from the sensor's information which will make the task of knowing the position of the robot and the position of the different obstacle. Through mapping, the robot will have a vision of the surroundings. Localization is the process of estimating a pose of the robot relative to the map. Simultaneous update of robot pose and linear feature estimates is performed through hybrid algorithm and this can be achieved by comparing the most important solutions in position and using a low cost Microsoft Kinect sensor, Arduino microcontroller as embedded system, Inertial Measurement Unit(IMU), Laptop and Robot operating system to verify the feasibility of the proposed methods as a indoor wireless mobile robot communicating with various indoor devices.
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