Drone
Engineered an autonomous quadrotor platform equipped with real-time obstacle detection and collision avoidance systems.
- Custom Flight Controller: Developed a flight controller from scratch using an Arduino Mega, MPU-6050 IMU, and custom PID algorithms for roll, pitch, and yaw stabilization.
- Collision Avoidance System: Integrated array of low-cost ultrasonic and PIR sensors for robust obstacle detection in environments where optical sensors fail.
- Embedded Systems Integration: Interfaced the Arduino flight controller with a Raspberry Pi running Windows 10 IoT Core for high-level autonomous navigation using I2C/SPI protocols.
- Hardware & Signal Tuning: Tuned Electronic Speed Controllers (ESCs) and analyzed PWM signal waveforms under CRO to map precise thrust outputs for BLDC motors.