The sensors subteam reads in sensors data from the wheel encoders, IMU, GPS, and LiDAR. The data from these sensors are then sent to Google Cartographer, which performs SLAM on the data. Finally, the resulting data is sent to the controls subteam for path-planning.

The computer vision subteam formulates an algorithm that maps out 2D obstacles on the ground by using a stereo camera to detect white lines and potholes on the track. The team mainly programs in python using things such as OpenCV and ROS.

Embedded Systems focuses on the design and development of all electronic and electrical systems. We deliver power to all the components and transform movement data from other systems into physical movement of the vehicle.

The controls subteam is responsible for the navigation aspects of the robot. That generally includes path planning and trajectory planning. In short, we take costmap and odometry as inputs and produce an optimal path to generate motor velocity commands. Controls is also responsible for building a simulation model using tools like Gazebo and ROS to test and deploy without the physical robot.

The platform team is responsible for the chassis of the robotic vehicle. The team uses CAD software to design the chassis in order to meet the competition regulations and store all the necessary electronics of the vehicle. The team uses various machines to manufaction the designed parts and assemble the chassis.

The business team at UMARV seeks to establish meaningful relationships with corporate sponsors, organize fundraising opportunities and establish a presence in the community. The business team is also responsible for keeping the website up to date with the latest information.