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Connected Vehicles 32 min read

Autonomous Delivery Robot

Build a self-driving delivery robot with obstacle avoidance, GPS navigation, cellular connectivity, and remote monitoring for last-mile delivery.

Project Overview

Last-mile delivery is expensive. Autonomous robots can reduce costs by 70% while providing contactless delivery.

Capabilities:
  • 5-10 km range per charge
  • 10-20 kg payload capacity
  • Sidewalk navigation
  • Obstacle detection & avoidance
  • Remote monitoring & control
  • Secure compartment lock

Chassis & Motors

Sensors Array

SensorPurposeRange
LiDAR (RPLidar)360° mapping12m
Ultrasonic x4Close obstacle4m
CameraVisual navigation10m
GPS (RTK)Precise location±2cm
IMUOrientation-
Wheel EncodersOdometry-
# ROS2 Navigation Stack
from nav2_simple_commander.robot_navigator import BasicNavigator

navigator = BasicNavigator()

# Set initial pose
initial_pose = PoseStamped()
initial_pose.header.frame_id = 'map'
initial_pose.pose.position.x = 0.0
initial_pose.pose.position.y = 0.0

# Set goal
goal_pose = PoseStamped()
goal_pose.header.frame_id = 'map'
goal_pose.pose.position.x = 10.0
goal_pose.pose.position.y = 5.0

navigator.goToPose(goal_pose)

Obstacle Avoidance

void avoidObstacle() {
  float frontDistance = readLidar(0); // Front reading
  
  if (frontDistance < 0.5) {
    // Obstacle detected
    stopMotors();
    
    // Scan left and right
    float left = readLidar(270);
    float right = readLidar(90);
    
    // Turn towards clear path
    if (left > right) {
      turnLeft();
    } else {
      turnRight();
    }
  }
}

Remote Monitoring

4G/LTE connectivity for real-time monitoring:

Safety Requirements:
  • E-stop button (physical & remote)
  • Audible warning signals
  • Reflective markings
  • Speed limit: 6 km/h max
  • Comply with local regulations

Next Steps

  • Add facial recognition for delivery
  • Implement swarm coordination
  • Add weather protection
  • Integrate with e-commerce platforms