This software helps a Swarmathon rover accurately align with a designated drop-off area using 3D positional data from AprilTags. The rover calculates the orientation required to position itself within a 1.5m x 1.5m square and successfully deposit its resource (cube) within the designated perimeter.
Swarmathon is a robotics and algorithm competition designed to test autonomous rover systems. My team from Durham Tech Community College won first place in 2018 in this prestigious competition, showcasing our innovation in rover navigation and control systems.
- Real-time rover positioning based on AprilTag detection.
- Automatic alignment of the rover with a target area (1.5m x 1.5m square).
- Efficient decision-making to direct the rover’s movement towards the drop-off zone.
- Swarmathon competition background, demonstrating our team’s success in a national NASA competition.
- AprilTags for visual localization.
- 3D positional tracking to compute rover orientation.
- Custom software algorithms for real-time navigation and alignment.
This system is designed to facilitate autonomous navigation for the Swarmathon rover, enabling precise alignment with a target drop-off zone. It’s part of a larger project aimed at improving autonomous swarm robotics capabilities, particularly in competitive environments like Swarmathon.