Human Following Robot Using Arduino and Ultrasonic Sensor

Submitted by Gourav Tak on

Working of Human Following Robot Using Arduino

In recent years, robotics has witnessed significant advancements, enabling the creation of intelligent machines that can interact with the environment. One exciting application of robotics is the development of human-following robots. These robots can track and follow a person autonomously, making them useful in various scenarios like assistance in crowded areas, navigation support, or even as companions. In this article, we will explore in detail how to build a human following robot using Arduino and three ultrasonic sensors, complete with circuit diagrams and working code. Also, check all the Arduino-based Robotics projects by following the link.

The working of a human following robot using Arduino code and three ultrasonic sensors is an interesting project. What makes this project particularly interesting is the use of not just one, but three ultrasonic sensors. This adds a new dimension to the experience, as we typically see humans following a robot built with one ultrasonic, two IR, and one servo motor.  This servo motor has no role in the operation and also adds unnecessary complications. So I removed this servo and the IR sensors and used 3 ultrasonic sensors. With ultrasonic sensors, you can measure distance and use that information to navigate and follow a human target. Here’s a general outline of the steps involved in creating such a robot.

 

 

Components Needed for Human Following Robot Using Arduino

  • Arduino UNO board ×1

  • Ultrasonic sensor ×3

  • L298N motor driver ×1

  • Robot chassis

  • BO motors ×2

  • Wheels ×2

  • Li-ion battery 3.7V ×2

  • Battery holder ×1

  • Breadboard

  • Ultrasonic sensor holder ×3

  • Switch and jumper wires

Human Following Robot Using Arduino Circuit Diagram

Here is the schematic diagram of a Human-following robot circuit.

Arduino Human Following Robot Circuit Diagram

This design incorporates three ultrasonic sensors, allowing distance measurements in three directions front, right, and left. These sensors are connected to the Arduino board through their respective digital pins. Additionally, the circuit includes two DC motors for movement, which are connected to an L298N motor driver module. The motor driver module is, in turn, connected to the Arduino board using its corresponding digital pins. To power the entire setup, two 3.7V li-ion cells are employed, which are connected to the motor driver module via a switch.

Overall, this circuit diagram showcases the essential components and connections necessary for the Human-following robot to operate effectively.

arduino human following robot circuit

Circuit Connection:

Arduino and HC-SR04 Ultrasonic Sensor Module:

HC-SR04 Ultrasonic sensor Module

  • Connect the VCC pin of each ultrasonic sensor to the 5V pin on the Arduino board.

  • Connect the GND pin of each ultrasonic sensor to the GND pin on the Arduino board.

  • Connect the trigger pin (TRIG) of each ultrasonic sensor to separate digital pins (2,4, and 6) on the Arduino board.

  • Connect the echo pin (ECHO) of each ultrasonic to separate digital pins (3,5, and 7) on the Arduino board.

Arduino and Motor Driver Module:

  • Connect the digital output pins of the Arduino (digital pins 8, 9, 10, and 11) to the appropriate input pins (IN1, IN2, IN3, and IN4) on the motor driver module.

  • Connect the ENA and ENB pins of the motor driver module to the onboard High state pin with the help of a female header.

  • Connect the OUT1, OUT2, OUT3, and OUT4 pins of the motor driver module to the appropriate terminals of the motors.

  • Connect the VCC (+5V) and GND pins of the motor driver module to the appropriate power (Vin) and ground (GND) connections on the Arduino.

Power Supply:

  • Connect the positive terminal of the power supply to the +12V input of the motor driver module.

  • Connect the negative terminal of the power supply to the GND pin of the motor driver module.

  • Connect the GND pin of the Arduino to the GND pin of the motor driver module.

Human Following Robot Using Arduino Code

Here is a simple 3 Ultrasonic sensor-based Human following robot using Arduino Uno code that you can use for your project.

Ultrsonic Sensors on Robot

This code reads the distances from three ultrasonic sensors (‘frontDistance’, ‘leftDistance’, and ‘rightDistance’). It then compares these distances to determine the sensor with the smallest distance. If the smallest distance is below the threshold, it moves the car accordingly using the appropriate motor control function (‘moveForward()’, ‘turnLeft()’, ‘turnRight()’). If none of the distances are below the threshold, it stops the motor using ‘stop()’.

In this section, we define the pin connections for the ultrasonic sensors and motor control. The S1Trig, S2Trig, and S3Trig, variables represent the trigger pins of the three ultrasonic sensors, while S1Echo, S2Echo, and S3Echo, represent their respective echo pins.

The LEFT_MOTOR_PIN1, LEFT_MOTOR_PIN2, RIGHT_MOTOR_PIN1, and RIGHT_MOTOR_PIN2 variables define the pins for controlling the motors.

The MAX_DISTANCE and MIN_DISTANCE_BACK variables set the thresholds for obstacle detection.

// Ultrasonic sensor pins
#define S1Trig 2
#define S2Trig 4
#define S3Trig 6
#define S1Echo 3
#define S2Echo 5
#define S3Echo 7
// Motor control pins
#define LEFT_MOTOR_PIN1 8
#define LEFT_MOTOR_PIN2 9
#define RIGHT_MOTOR_PIN1 10
#define RIGHT_MOTOR_PIN2 11
// Distance thresholds for obstacle detection
#define MAX_DISTANCE 40
#define MIN_DISTANCE_BACK 5

Make sure to adjust the values of ‘MIN_DISTANCE_BACK’ and ‘MAX_DISTANCE’ according to your specific requirements and the characteristics of your robot.

The suitable values for ‘MIN_DISTANCE_BACK’ and ‘MAX_DISTANCE’ depend on the specific requirements and characteristics of your human-following robot. You will need to consider factors such as the speed of your robot, the response time of the sensors, and the desired safety margin

Here are some general guidelines to help you choose suitable values.

MIN_DISTANCE_BACK’ This value represents the distance at which the car should come to a stop when an obstacle or hand is detected directly in front. It should be set to a distance that allows the car to back safely without colliding with the obstacle or hand. A typical value could be around 5-10 cm.

MAX_DISTANCE’ This value represents the maximum distance at which the car considers the path ahead to be clear and can continue moving forward. It should be set to a distance that provides enough room for the car to move without colliding with any obstacles or hands. If your hand and obstacles are going out of this range, the robot should be stop. A typical value could be around 30-50 cm.

These values are just suggestions, and you may need to adjust them based on the specific characteristics of your robot and the environment in which it operates.

These lines set the motor speed limits. ‘MAX_SPEED’ denotes the upper limit for motor speed, while ‘MIN_SPEED’ is a lower value used for a slight left bias. The speed values are typically within the range of 0 to 255, and can be adjusted to suit our specific requirements.

// Maximum and minimum motor speeds
#define MAX_SPEED 150
#define MIN_SPEED 75

The ‘setup()’ function is called once at the start of the program. In the setup() function, we set the motor control pins (LEFT_MOTOR_PIN1, LEFT_MOTOR_PIN2, RIGHT_MOTOR_PIN1, RIGHT_MOTOR_PIN2) as output pins using ‘pinMode()’ . We also set the trigger pins (S1Trig, S2Trig, S3Trig) of the ultrasonic sensors as output pins and the echo pins (S1Echo, S2Echo, S3Echo) as input pins. Lastly, we initialize the serial communication at a baud rate of 9600 for debugging purposes.

void setup() {
  // Set motor control pins as outputs
  pinMode(LEFT_MOTOR_PIN1, OUTPUT);
  pinMode(LEFT_MOTOR_PIN2, OUTPUT);
  pinMode(RIGHT_MOTOR_PIN1, OUTPUT);
  pinMode(RIGHT_MOTOR_PIN2, OUTPUT);
  //Set the Trig pins as output pins
  pinMode(S1Trig, OUTPUT);
  pinMode(S2Trig, OUTPUT);
  pinMode(S3Trig, OUTPUT);
  //Set the Echo pins as input pins
  pinMode(S1Echo, INPUT);
  pinMode(S2Echo, INPUT);
  pinMode(S3Echo, INPUT);
  // Initialize the serial communication for debugging
  Serial.begin(9600);
}

This block of code consists of three functions (‘sensorOne()’, ‘sensorTwo()’, ‘sensorThree()’) responsible for measuring the distance using ultrasonic sensors.

The ‘sensorOne()’ function measures the distance using the first ultrasonic sensor. It's important to note that the conversion of the pulse duration to distance is based on the assumption that the speed of sound is approximately 343 meters per second. Dividing by 29 and halving the result provides an approximate conversion from microseconds to centimeters.

The ‘sensorTwo()’ and ‘sensorThree()’ functions work similarly, but for the second and third ultrasonic sensors, respectively.

// Function to measure the distance using an ultrasonic sensor
int sensorOne() {
  //pulse output
  digitalWrite(S1Trig, LOW);
  delayMicroseconds(2);
  digitalWrite(S1Trig, HIGH);
  delayMicroseconds(10);
  digitalWrite(S1Trig, LOW);
  long t = pulseIn(S1Echo, HIGH);//Get the pulse
  int cm = t / 29 / 2; //Convert time to the distance
  return cm; // Return the values from the sensor
}
//Get the sensor values
int sensorTwo() {
  //pulse output
  digitalWrite(S2Trig, LOW);
  delayMicroseconds(2);
  digitalWrite(S2Trig, HIGH);
  delayMicroseconds(10);
  digitalWrite(S2Trig, LOW);
  long t = pulseIn(S2Echo, HIGH);//Get the pulse
  int cm = t / 29 / 2; //Convert time to the distance
  return cm; // Return the values from the sensor
}
//Get the sensor values
int sensorThree() {
  //pulse output
  digitalWrite(S3Trig, LOW);
  delayMicroseconds(2);
  digitalWrite(S3Trig, HIGH);
  delayMicroseconds(10);
  digitalWrite(S3Trig, LOW);
  long t = pulseIn(S3Echo, HIGH);//Get the pulse
  int cm = t / 29 / 2; //Convert time to the distance
  return cm; // Return the values from the sensor
}

In this section, the ‘loop()’ function begins by calling the ‘sensorOne()’, ‘sensorTwo()’, and ‘sensorThree()’ functions to measure the distances from the ultrasonic sensors. The distances are then stored in the variables ‘frontDistance’, ‘leftDistance’, and ‘rightDistance’.

Next, the code utilizes the ‘Serial’ object to print the distance values to the serial monitor for debugging and monitoring purposes.

void loop() {
  int frontDistance = sensorOne();
  int leftDistance = sensorTwo();
  int rightDistance = sensorThree();
  Serial.print("Front: ");
  Serial.print(frontDistance);
  Serial.print(" cm, Left: ");
  Serial.print(leftDistance);
  Serial.print(" cm, Right: ");
  Serial.print(rightDistance);
  Serial.println(" cm");

In this section of code condition checks if the front distance is less than a threshold value ‘MIN_DISTANCE_BACK’ that indicates a very low distance. If this condition is true, it means that the front distance is very low, and the robot should move backward to avoid a collision. In this case, the ‘moveBackward()’ function is called.

if (frontDistance < MIN_DISTANCE_BACK) {
    moveBackward();
    Serial.println("backward");

If the previous condition is false, this condition is checked. if the front distance is less than the left distance, less than the right distance, and less than the ‘MAX_DISTANCE’ threshold. If this condition is true, it means that the front distance is the smallest among the three distances, and it is also below the maximum distance threshold. In this case, the ‘moveForward()’ function is called to make the car move forward.

else if (frontDistance < leftDistance && frontDistance < rightDistance && frontDistance < MAX_DISTANCE) {
    moveForward();
    Serial.println("forward");

If the previous condition is false, this condition is checked. It verifies if the left distance is less than the right distance and less than the ‘MAX_DISTANCE’ threshold. This condition indicates that the left distance is the smallest among the three distances, and it is also below the minimum distance threshold. Therefore, the ‘turnLeft()’ function is called to make the car turn left.

else if (leftDistance < rightDistance && leftDistance < MAX_DISTANCE) {
    turnLeft();
    Serial.println("left");

If neither of the previous conditions is met, this condition is checked. It ensures that the right distance is less than the ‘MAX_DISTANCE’ threshold. This condition suggests that the right distance is the smallest among the three distances, and it is below the minimum distance threshold. The ‘turnRight()’ function is called to make the car turn right.

else if (rightDistance < MAX_DISTANCE) {
    turnRight();
    Serial.println("right");

If none of the previous conditions are true, it means that none of the distances satisfy the conditions for movement. Therefore, the ‘stop()’ function is called to stop the car.

 else {
    stop();
    Serial.println("stop");

In summary, the code checks the distances from the three ultrasonic sensors and determines the direction in which the car should move based on the 3 ultrasonic sensors with the smallest distance.

 

Important aspects of this Arduino-powered human-following robot project include:

  • Three-sensor setup for 360-degree human identification
  • Distance measurement and decision-making in real-time
  • Navigation that operates automatically without human assistance
  • Avoiding collisions and maintaining a safe following distance

 

 

Technical Summary and GitHub Repository 

Using three HC-SR04 ultrasonic sensors and an L298N motor driver for precise directional control, this Arduino project shows off the robot's ability to track itself. For simple replication and modification, the full source code, circuit schematics, and assembly guidelines are accessible in our GitHub repository. To download the Arduino code, view comprehensive wiring schematics, and participate in the open-source robotics community, visit our GitHub page.

Code Schematics Download Icon

 

Frequently Asked Questions

⇥ How does an Arduino-powered human-following robot operate?
Three ultrasonic sensors are used by the Arduino-powered human following robot to determine a person's distance and presence. After processing this data, the Arduino manages motors to follow the identified individual while keeping a safe distance.

⇥ Which motor driver is ideal for an Arduino human-following robot?
The most widely used motor driver for Arduino human-following robots is the L298N. Additionally, some builders use the L293D motor driver shield, which connects to the Arduino Uno directly. Both can supply enough current for small robot applications and manage 2-4 DC motors.

⇥ Is it possible to create a human-following robot without soldering?
Yes, you can use motor driver shields that connect straight to an Arduino, breadboards, and jumper wires to construct a human-following robot. For novices and prototyping, this method is ideal.

⇥ What uses do human-following robots have in the real world?
Shopping cart robots in malls, luggage-carrying robots in airports, security patrol robots, elderly care assistance robots, educational demonstration robots, and companion robots that behave like pets are a few examples of applications.

 

Conclusion

This human following robot using Arduino project and three ultrasonic sensors is an exciting and rewarding project that combines programming, electronics, and mechanics. With Arduino’s versatility and the availability of affordable components, creating your own human-following robot is within reach.

Human-following robots have a wide range of applications in various fields, such as retail stores, malls, and hotels, to provide personalized assistance to customers. Human-following robots can be employed in security and surveillance systems to track and monitor individuals in public spaces. They can be used in Entertainment and events, elderly care, guided tours, research and development, education and research, and personal robotics.

They are just a few examples of the applications of human-following robots. As technology advances and robotics continues to evolve, we can expect even more diverse and innovative applications in the future.

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Adding a Wi-Fi Camera to the LiteWing ESP32 Drone for Hobby Flights.

Submitted by Vishnu S on

We love tinkering with our LiteWing ESP32 drone, and this time we gave it a simple but exciting upgrade, a WiFi camera module! With this addition, the drone can now stream live video while flying, perfect for hobby flights, aerial experimentation, or just having fun seeing the world from above.

On the technical side, the setup remains straightforward. The camera module uses its own built-in WiFi to stream video directly to a nearby device, while the LiteWing supplies stable power from its onboard battery during flight. Because the camera operates independently from the flight controller, the drone continues to fly normally while continuously transmitting live video.This build gives you real-time aerial footage without spending on a commercial drone with a camera.

Beyond its core functionality as a flying drone with a camera, the ESP32-based system can be further enhanced by integrating a Bluetooth speaker for wireless audio output. This upgrade enables the drone not only to capture live aerial footage but also to broadcast real-time voice announcements, making it suitable for surveillance, public addressing, or smart monitoring applications. For detailed guidance, refer to the project titled “How to Add a Loudspeaker to LiteWing ESP32 Drone for Wireless Audio Announcement”.

LiteWing ESP32 Drone with Camera – Overview

ParameterDetail
Drone platformLiteWing ESP32 Drone
Camera typeDual WiFi camera module (toy-drone type)
Camera operating voltage3.3 V (onboard regulator accepts up to 5 V)
Power source1S LiPo battery (high C-rating recommended)
Data connection to flight controllerNone required
Camera WiFi password (default)12345678
Viewing appWebCam / IP Camera (Android & iOS)
Control appLiteWing drone control app (separate WiFi)
Key troubleshooting fixUse higher C-rating battery to reduce video jitter

Components Required for the LiteWing ESP32 Drone Camera Build

This project requires only a compact flight platform with essential components for smooth aerial operation. The LiteWing ESP32 drone serves as the core system, paired with a dual WiFi camera module for real-time video streaming. A lightweight Li-Po battery powers the setup, while basic wiring and mounting accessories ensure secure assembly. Together, these components create a streamlined and efficient mini drone with camera designed for stable flight and live monitoring.

  1. LiteWing ESP32 Drone
  2. WiFi - Camera Module
  3. 1S LiPo Battery(Need High C Rating)

How the LiteWing ESP32 Drone  with Camera Works

This drone system works through two separate pathways that don't interfere with each other. The LiteWing ESP32-Drone connects to your phone's Drone Control Application through its own Wi-Fi network, letting you fly the drone smoothly.

LiteWing ESP32 drone WiFi camera workflow diagram showing two independent WiFi channels for flight control and live video streaming

By splitting control and video into two separate channels, you get lag-free flying even while watching live video Feed. Use a high-C-rating battery to ensure the camera receives stable and sufficient power during flight. It’s like having two walkie-talkie frequencies, one for giving directions and one for receiving updates, so neither signal gets jammed or slowed down.

Workflow Summary:

» Channel 1 - Flight control - The LiteWing ESP32 has an in-built WiFi Access Point (AP). Your phone will connect to the LiteWing's drone control application to control throttle, roll, pitch, and yaw.

» Channel 2 - Live video - The WiFi camera module establishes its own Access Point (AP) and is completely separate from the LiteWing. You will connect to this Access Point (AP) through your phone using the WebCam application.

» No interference from either system - Because each system operates on its own WiFi Network, neither system's signal will slow down or jam the other system's signal; therefore, you will be able to fly with zero lag while simultaneously receiving smooth real-time video.

WiFi Camera Module Details

We used a dual-camera module from a toy drone. The module features two cameras, allowing you to switch between them easily, which is great for capturing different angles during flight. The cameras operate at 3.3V, but the module includes a built-in voltage regulator that can handle up to 5V, making it easy to power directly from the drone’s battery without additional circuitry.

Dual WiFi camera module used on LiteWing ESP32 mini drone with camera for live aerial video streaming

Because the camera has its own WiFi connection, it can stream live video independently of the drone’s flight controller. This means you get continuous video even while the LiteWing ESP32 handles stable flight. Its compact design also makes it simple to mount on the drone without affecting weight or balance, making it a perfect fit for hobby video flights and experimentation.

 WiFi Camera Module vs ESP32-CAM

FeatureDedicated WiFi Camera ModuleESP32-CAM
Power requirementUp to 5 V via built-in regulatorStable 5 V, higher current draw
Integration complexityPower only (VCC + GND)Requires firmware configuration
Stability on 1S LiPoGood with a high C-rating batteryProne to resets under motor load
Onboard image processingNoYes
Best suited forSimple live streaming buildsProjects requiring custom logic
Weight impactMinimal – compact moduleSlightly heavier with antenna

Hardware Connections

For this project, the hardware setup is very simple. We used the LiteWing ESP32 drone as the flying platform and mounted a dual WiFi camera module taken from a toy drone onto the frame. The camera does not require any data connection to the flight controller. We only connected the VCC of the camera module to the VBUS line and the GND to the common ground of the drone.

Hardware connection diagram for LiteWing ESP32 drone camera module — VCC to VBUS and GND to common ground

The system runs on a 1S LiPo battery, which powers both the drone and the camera. Proper mounting and secure wiring are important to keep the setup balanced during flight, and using a higher C-rating battery helps maintain stable performance.

How to Connect a Drone Camera to a Mobile Phone: Step-by-Step

Once the camera is powered on, it automatically creates its own WiFi access point. To view the live feed:

Step 1 ⇒ Connect your mobile phone to the camera’s WiFi network using the default password 12345678.

 Mobile phone connecting to LiteWing drone camera WiFi access point with default password 12345678

Step 2 ⇒ Download and open a compatible Web Cam app (many camera modules support apps like “IP Camera” or “WebCam” on Android/iOS).

Step 3 ⇒ In the app, click on the start button to start getting the live feed

Step 4 ⇒You should now see the live video feed streaming directly from the drone.

This setup keeps the camera completely independent of the LiteWing ESP32 flight controller, allowing smooth drone operation while continuously viewing live video. The key advantage of a dual-channel architecture for a drone with camera at hobby scale.

Working Demo

When the system is powered on, the LiteWing ESP32 manages the drone’s flight, which you can control through the LiteWing mobile app. At the same time, the WiFi camera powers up independently and creates its own network. To view the live video feed, you connect to the camera’s network using its dedicated viewing app. This setup lets the drone fly smoothly while streaming live video at the same time, showing how both systems work together.

Troubleshooting the LiteWing Drone Camera Setup

In some cases, noise or jitter may appear in the live video feed when the drone motors start operating. This issue can occur even if the camera footage looks clear while the drone is stationary. The disturbance is mainly caused by PWM switching noise from the motor control MOSFETs, which can introduce power fluctuations affecting the WiFi camera module.

To avoid this problem, it is recommended to use a battery with a higher C-rating, as it can supply stable current during rapid motor load changes. Using a higher C-rating battery significantly reduces power-related interference, resulting in smooth and jitter-free video streaming during flight.

Frequently Asked Questions

⇥ Can an ESP32-CAM be used instead of the WiFi camera module on the drone?

Yes, an ESP32-CAM can be used on the drone, but it requires more careful design compared to a standalone WiFi camera module. The ESP32-CAM needs a stable 5V supply and draws higher current, which can be difficult to maintain on a 1S LiPo battery when the motors are running, leading to possible resets, frame drops, or WiFi disconnections. It also adds extra processing load and power consumption to the system, increasing overall complexity. For simple live video streaming, a dedicated WiFi camera module is easier and more reliable, while the ESP32-CAM is better suited for projects that require onboard image processing or custom control logic.

⇥  Why does the drone’s video feed show noise or jitter during flight?

The video jitter or noise usually happens due to a voltage drop when the motors draw high current during flight. If the battery cannot supply enough current consistently, the voltage fluctuates, which can affect the WiFi camera module and cause instability in the video feed. Using a battery with a higher C-rating helps maintain stable voltage under load, reducing video noise and ensuring smoother transmission.

⇥ How to connect the drone camera to a mobile phone?

To connect the drone camera to a mobile phone, first power on the drone so that the WiFi camera module turns on. Once powered, the camera automatically creates its own WiFi access point. Open the WiFi settings on your mobile phone and connect to the camera’s WiFi network using the default password 12345678. After connecting, open the Web Cam app (available on the Play Store), and the live video feed will be displayed on your phone in real time.

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