Project Title: Autonomous Avoiding-Obstacle Robot Car
Team Name: Fast Robotics
Quarter: Spring 2025
Institution: University of California, San Diego
Team Members: Emma Nguyen, Momina Habibi, Yuwei Ren, Samvathna Em
Instructor: Ryan Kastner
Our project focuses on designing and building an autonomous robotic car capable of detecting and avoiding obstacles in real time. By using vision-based detection (AprilTags), we enable the robot to navigate a small space (2m x 2m) and respond to visual obstacles within 0.5 seconds. This system demonstrates how real-time decision-making and lightweight perception models can be used for safe, efficient navigation without full SLAM complexity.
⚙️ Qualcomm RB5 Platform
⚙️ mBot Robot Base
⚙️ ROS 2 foxy
⚙️ AprilTag Detection
⚙️ OpenCV
⚙️ Python / C++
⚙️ Ubuntu 22.04
☑️ AprilTag-based obstacle detection
☑️ Real-time camera input processing
☑️ Odometry
☑️ Reaction time within 500 ms
☑️ Remote Control Joystick
☑️ Speed: 10–15 cm/s