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Welcome to the SLAM wiki. You can find everything you need to know about our team right here.

Getting Started with ROS

Our robot code is developed using the Robot Operating System (ROS). if you are unfamiliar with ROS and/or require help setting it up, we have some tutorials below:

1. Setting Up Your Operating System:
   How to dual-boot Linux with Windows or Mac OS.

2. Installing and Configuring Your ROS Environment:
   How to install ROS and configure the ROS environment for development.

3. Creating and Building a ROS Package:
   How to create a ROS package using catkin_create_pkg and build it using catkin_make.

4. Understanding ROS Architecture:
   How the ROS architecture works.

Once you have set up your system with ROS, you can begin to learn more about SLAM.

Getting Started with SLAM

Simultaneous Localization and Mapping (SLAM) is a computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. If you are unfamiliar with the SLAM theory, we have some tutorials below:

1. Understanding Probabilistic Robotics:
   Basic probability theory and how it is used within robotics.

Additional Resources

General ROS and Technical Help

• Creating a rospy package
• Model the Robot
• Odometry - General Information
• Odometry - Configuring with ROS

Creating and Using Our Packages

• Husky Navigation Stack
• Sending Goals to move_base
• AMCL against a static map
• SLAM Package
• Information about caffeine_description
• sensor-drivers-list