Robot Mapping Using SLAM
Thursday, May 12, 2016
BCTIA Innovation Hub
101 -887 Great Northern Way
Simultaneous localization and mapping (SLAM) is the computational problem of creating a map of a space while simultaneously tracking the robot’s location within it. While this initially appears to be a chicken-and-egg problem there are algorithms for solving it, using probability statistics and known reference points.
Our presenters for this meeting will describe robot mapping problems, introduce some clever methodologies for solving SLAM problems and demonstrate the process in our meeting room environment using ROS packages.
Are you a current member, or would like to join the ROS Meetup, click here to RSVP and find out more information.