Blackjack Reinforcement Learning

Our team designed and built a line-following robot powered by Arduino that competed in the Pathfinder Competition. I was responsible for programming the robot's core behavior, enabling it to follow a black line using a color sensor while detecting obstacles via ultrasonic sensing. We implemented logic for path correction, dynamic turning, and real-time decision-making to ensure smooth autonomous navigation. The robot executed multi-angle scanning routines to recover from off-track situations and intelligently handled blocked paths. Our well-coordinated teamwork and innovative approach led us to win first place in the competition, along with a $300 prize for our performance.

Overview

Designed and built an autonomous line-following robot for a competition.
Worked with a team of four to integrate hardware, sensors, and software logic.
Tuned the robot to navigate paths efficiently using a TCS3200 color sensor.

Implementation

Programmed the Arduino to detect and follow black lines using color sensor.
Implemented logic for direction scanning and obstacle avoidance with ultrasonic sensors.
Used motor control through the L298N driver board for precise movement and turning.

Results

Successfully completed the course and won first place in the Pathfinder competition.
Earned a prize of $300 by outperforming other competing teams.
Robot was able to adapt and recover from path loss during live runs.

What I Learned

Hands-on experience with Arduino programming and real-time robot control.
Collaborating effectively under time pressure and solving hardware-software bugs.
Improved understanding of sensor integration, motor drivers, and control logic.

Technologies Used:

Arduino (C++), Arduino Uno R3, TCS3200 Color Sensor, Ultrasonic sensor, L298N Motor Driver