Abstract
In this paper, we are going to present an implementation of SLAM. This SLAM technology is used for creating a map of an unknown environment by placing a robot. Robot will be interfaced and controlled using Robot Operating System (ROS). We are aiming to create a map of a region where disaster has taken place. It can be used to create a map of the regions where humans cannot reach. In the disaster prone areas it is not possible for humans to check the location of survivors. Our robot will help to amplify low human noise to detect presence of humans under the rubble and to detect them using sensors and then we can mark that location so that rescue team would quickly reach to that location for their rescue, also simultaneous live feed/streaming using normal camera to monitor the area. Here main part is odometry of robot. To calculate odometry, camera and encoders are used. So, SLAM based robots can help in mapping their locations digitally.
Highlights
Mapping a territory has always been an essential topic in science and technology, especially in robotics
Indoor operation removes the use of GPS to limit the localization error; Simultaneous Localization and Mapping (SLAM) provides an appealing alternative to user-defined maps, showing that robot operation is possible in the absence of an Ad-HOC localization infrastructure [1]
Through robotics it becomes easier to solve the problems with more accuracy and with more efficiency as compared to the manual method to solve any problem.Earlier in robotics, it was mandatory that an individual team should monitor the and give commands to
Summary
Mapping a territory has always been an essential topic in science and technology, especially in robotics. SLAM is a challenge of putting a robot in an unknown region which maps its surroundings with respect to its own position [1]. In this project our model will be interfaced with Robot Operating System (ROS). Mapping needs 3D vision camera to sense the surrounding objects and maps them in 3D In this project we are using xbox kinect 360, which is a depth sensor mostly used for detecting gestures/motion for gaming purpose. Indoor operation removes the use of GPS to limit the localization error; SLAM provides an appealing alternative to user-defined maps, showing that robot operation is possible in the absence of an Ad-HOC localization infrastructure [1]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
