What it does
- Tackles three autonomous challenges:
- Color detection and flag placement
- Maze navigation
- Color pattern recognition
- Uses an Arduino Uno R4, JGA25-370 Gearmotors, L298 Motor Driver, and TCS34725 RGB Color Sensor
- Navigates through color-coded mazes and detects specific color patterns
- Plants flags in designated locations
- Avoids obstacles and walls during navigation
How we built it
- Assembled the robot using provided components: Arduino, motors, sensors, and chassis
- Programmed the Arduino to interpret sensor data and control motor movements
- Implemented algorithms for color detection, pathfinding, and decision-making
- Integrated the claw assembly for flag placement capability
Challenges we ran into
- Calibrating the color sensor for accurate detection in varying light conditions
- Implementing efficient pathfinding algorithms for maze navigation
- Coordinating motor movements for precise turns and straight-line motion
- Integrating all components to work seamlessly together
Accomplishments that we're proud of
- Successfully completing all three challenge courses
- Developing a robust color detection and interpretation system
- Creating an adaptive navigation algorithm for maze traversal
- Implementing an efficient color pattern recognition feature
What we learned
- Practical application of robotics principles: perception, reasoning, and actuation
- Arduino programming and sensor integration
- Problem-solving skills for real-world robotics challenges
- Importance of iterative testing and refinement in robot design
What's next for Challenge One
- Optimize algorithms for faster completion times
- Enhance obstacle avoidance capabilities
- Improve energy efficiency for longer operation
- Explore additional sensors for more complex environment interactions
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