Autonomous robot mapping mazes with precision.
Sponsor: NXP
Student Team: RJ Salas, Alex Livingston, Ashlee Martinez, Michael Luan
Faculty Instructor: Mr. Mark Welker
Our project is an autonomous robot that uses object detection to travel through a maze efficiently, without contacting the maze walls. It combines sensing, mapping, and movement to navigate the maze. Using a camera and sensors, the system identifies walls, directional indicators, and the designated finish position. Real-time analysis ensures the optimal route is taken, while dual drive motors provide precise turns and speed control, allowing consistent performance under various maze constraints. The skills developed from this project translate directly to modern applications in robotics, automation, and self-driving systems.
E2.05 Presentation
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E2.05 Poster Pitch
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Team Contact Information
Team Project Manager: RJ Salas, rds195@txstate.edu
Faculty Instructor: Mr. Mark Welker, m_w399@txstate.edu
Let us know what you think! You can evaluate our project here: E2.05 Evaluation Form