Robot Mapping Using SLAM

Join us for a grand SLAM event!

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.

Speakers:

Colin Adamson, CRO at Xaxxon Technologies (www.xaxxon.com), and Brad Zdanivsky, Xaxxon Open Source Contributor-at-Large, will present a brief history and overview of the Oculus Prime mobile robot project, including a demo of its SLAM navigation and autonomous patrol route capabilities. The challenges of creating a robot from scratch, to work with the ROS navigation stack, will be outlined.

Sina Radmard, PhD, Mechanical Engineering (Robotics), UBC will get us started by giving us an overview of SLAM. For those of you who would like to try this yourself, Derek Shackleford, Principal of JDQ (www.jdq.com) will be presenting some insights into other SLAM implementations in ROS.

Colin, Brad, Sina and Derek will join together to wrap up with a a Q&A session.

Networking opportunities and pizza (courtesy of the DDA and the 3Spheres Robotics Project!) will be provided throughout!