Embedded Core
- WiFi connectivity for cloud sync
- Firebase polling for motion commands
- Motor control with fail-safe stop logic
ESP32 | GPS Tracking | Firebase | Autonomous Campus Delivery
KLNavBot autonomous delivery for connected campuses.
A robotics and embedded systems portfolio project that combines ESP32 control, live GPS telemetry, ultrasonic obstacle protection, and Firebase-powered monitoring into one campus delivery platform.
ESP32
GPS Tracking
MPU6050 Ready
Ultrasonic Sensors
Firebase Realtime Database
Real-Time Monitoring
Project Focus
Autonomous campus delivery with operator-visible telemetry, manual override, and safety-first motion control.
Built For
Robotics, embedded systems, autonomous vehicle, and IoT recruitment portfolios.
Cloud Layer
Firebase connects the robot, dashboard, command channel, and live tracking data in real time.
System Overview
KLNavBot uses the ESP32 as the control center, reads GPS and obstacle data on-device, and publishes live state to Firebase so the dashboard can show the robot path, motion state, and delivery progress.
Navigation Stack
- GPS tracking for live position updates
- Ultrasonic obstacle detection
- MPU6050-ready methodology for heading fusion
Cloud Experience
- Firebase Realtime Database data flow
- Web dashboard for remote monitoring
- OTP-ready delivery workflow for handoff
Documentation
Explore the full system architecture, hardware mapping, software layers, and workflow diagrams in the docs folder.