Create your own AI action figure that talks, moves, and interacts. This guide gets straight to the point with clear steps, tools, and code you’ll need.
PHASE 1: Design Your Figure
Step 1: 3D Model the Figure
- Head, torso, arms, legs.
- Include joints (like ball-and-socket) for articulation.
- Leave hollow sections in the torso/head to store electronics.
- Export your model as STL file.
Step 2: 3D Print the Parts
- Use a 3D printer (like Ender 3 V2 or Prusa i3).
- Use PLA filament for ease.
- Print in multiple parts (head, arms, legs, torso).
- After printing, sand and clean each part.
PHASE 2: Hardware Setup
Step 3: Choose Your Controller
- Use Raspberry Pi 4 for AI tasks.
- Use Arduino Nano or ESP32 for movement control.
- Connect Raspberry Pi and Arduino using USB serial or UART.
Step 4: Gather Your Components
Here’s what you’ll need:
Components | Purpose |
---|---|
Raspberry Pi 4 | Runs Al (voice, vision, logic) |
Arduino Nano | Controls servos/motors |
Micro Servo Motors (SG90 or MG90S) | Moves limbs, head, etc. |
Li-ion Battery + BMS | Portable power supply |
USB mic + mini speaker | Voice input/output |
Camera module (Pi Cam or USB) | For face/object detection |
Breadboard + jumper wires | Wiring |
LEDs (optional) | Eyes or effects |
PHASE 3: Assembly
Step 5: Wire the Servos to Arduino
- Connect each servo motor to a PWM pin (D3, D5, etc.).
- Power them using 5V from a battery (not the Arduino directly).
- Control arm, head, legs using 4–6 servos.
Basic wiring:
- Red: 5V
- Brown: GND
- Yellow/Orange: Signal (connect to Arduino digital pin)
Step 6: Fit Components Inside the Model
- Use screws, hot glue, or small brackets to secure:
- Arduino in the torso.
- Raspberry Pi in the back or chest.
- Mic/camera in the head.
- Route wires through internal hollow channels.
PHASE 4: Programming the Arduino (Movement Control)
Step 7: Write Arduino Code
Use Arduino IDE.
Example code:
#include <Servo.h>
Servo arm;
void setup() {
Serial.begin(9600);
arm.attach(3); // Connect arm servo to pin 3
}
void loop() {
if (Serial.available()) {
char cmd = Serial.read();
if (cmd == 'w') {
arm.write(0); // Wave
delay(500);
arm.write(90); // Return to rest
}
}
}
This listens for a command from the Raspberry Pi and moves the servo accordingly.
PHASE 5: Programming Raspberry Pi (AI Brain)
Step 8: Set Up Raspberry Pi
- Flash Raspberry Pi OS using Raspberry Pi Imager.
- Boot it up, connect to Wi-Fi.
- Install Python 3, pip, and dependencies:
sudo apt update
sudo apt install python3-pip python3-opencv espeak
Step 9: Add Voice Recognition (Whisper or Vosk)
Option A: Whisper (high accuracy, GPU heavy)
pip install openai-whisper
Use Whisper to transcribe your voice.
Example:
import whisper
model = whisper.load_model("base")
result = model.transcribe("speech.wav")
print(result["text"])
Option B: Vosk (lightweight, offline)
pip install vosk
Record and recognize voice input using a mic.
Step 10: Add Text-to-Speech (TTS)
Use pyttsx3 or espeak.
Example (pyttsx3):
import pyttsx3
engine = pyttsx3.init()
engine.say("Hello, I am your action figure!")
engine.runAndWait()
Step 11: Connect Pi to Arduino via Serial
Python (on Pi):
import serial
arduino = serial.Serial('/dev/ttyUSB0', 9600)
arduino.write(b'w') # Send wave command
PHASE 6: Add Vision and Interaction
Step 12: Install OpenCV
pip install opencv-python
Step 13: Face Detection Code
import cv2
cam = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
while True:
ret, frame = cam.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray)
if len(faces) > 0:
print("Face detected!")
Trigger servos or voice when a face is detected.
PHASE 7: Make It Talk and React
Step 14: Basic Command Listener
Combine speech recognition + logic:
if "wave" in recognized_text:
arduino.write(b'w')
say("Waving now.")
Wrap it in a loop so the figure continuously listens.
Step 15: Add Personality with GPT (Optional)
Use OpenAI API to give your action figure a conversational personality.
import openai
openai.api_key = "YOUR_API_KEY"
def chat(prompt):
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content
PHASE 8: Power & Portability
Step 16: Add Portable Power
Use:
- 5V 2A power bank for Raspberry Pi.
- 7.4V Li-ion pack for motors (with buck converter to 5V).
- Add on/off switch.
Route power safely inside the figure.
PHASE 9: Final Touches
Step 17: Customize Appearance
- Paint your figure with acrylics or spray paint.
- Add stickers, decals, or clothing.
Step 18: LED Eyes (Optional)
Use RGB LEDs connected to Arduino.
digitalWrite(LED_PIN, HIGH); // Eyes on
Make them blink or change color based on emotion or command.
PHASE 10: Test Everything
- Test all features: movement, voice, vision, power.
- Tweak servo angles, voice detection thresholds.
- Ensure all wires are secure, nothing overheats.
Optional Upgrades
Feature | How to Add |
---|---|
Gesture recognition | Use MediaPipe or OpenCV Hand Tracking |
Cloud connectivity | Use MQTT or Firebase |
Mobile app control | Build with MIT App Inventor or Flutter |
Modular parts | Use magnets or screw mounts for swappable arms/heads |
By following this guide, you’ve built a fully custom AI action figure—from scratch. You designed it, printed it, wired it, coded it, and gave it a personality.
You now have a robot that:
- Moves with servos
- Sees with OpenCV
- Listens and talks using voice AI
- Responds to commands
- And can be expanded endlessly
This project brings together real-world robotics, AI development, and creative design. You’re not just a maker—you’re a toy inventor.