Overview

For this assignment, you will implement localization using a Kalman Filter on a real robot. This is a group assignment, and you will be required to attend two tutorial sessions as a group.

NOTE: Your whole group will not be graded if any member of the group is missing from the tutorial sessions. Every member of the team must be present for the entire session to receive points for the assignment.

Instructions

For the assignment, you will book slots on the provided sheet to attend the tutorial session as a group.

• Tutorial 1 will be a presentation by the course staff to familiarize you with using the TurtleBot robot. You will be running code on the real robot during this tutorial. At the end of the tutorial, there will be a take-home assignment, which should take under one hour to complete.
• Tutorial 2 will be more hands-on. You will run the code from the take-home assignment on the real robot to localize it in a map and reach a designated target.

Location of the tutorial session: Shepherd Labs 164 (Drone Lab).

Please book slots for the tutorials by(7th April - Monday) here: Link to SpreadSheet. On the SpreadSheet you can look into the Sheet “Group Number for Reference” to see the group number allotted to your group. If you see any discrepancy, please notify us immediately.

Link to the GitHub repository for the code: Link to GitHub Repo

Link to Tutorial-1 Presentation: Coming Soon…

Link to Tutorial-2 Instructions: CSCI 5551 Real Robot Challenge Tutorial-2

Deadline

The project is due on Wednesday, April 23rd, at 11:59 CT.

Grading

The project is worth a total of 15 points.

You will submit a video of your work based on rubrics provided in Tutorial-2 to this folder: P7 Video Submissions. Video should be in .mp4 format and should follow the following naming convention. G#_P7_member1LastName_member2LastName_member3LastName_member4LastName.mp4