quad-robotic spider robot 2DOF
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Informacje o modelu
- Źródło
- Printables
- Kategoria
- Prusa Parts & Upgrades
- Licencja
- Creative Commons — Public Domain
Spider Quadruped Robot | ESP32 Powered 8-DOF
This is an agile, 4-legged spider robot (quadruped) built for smooth movement and wireless control. By upgrading the classic frame with an ESP32, this build gains WiFi/Bluetooth capabilities, making it a perfect platform for remote-controlled walking, automated routines, or STEM learning.
The robot utilizes 8 servos (2 per leg) to achieve realistic "spider-like" articulation, including walking, rotating, and posing.
Technical Features
Brain: ESP32 Dev Board (Dual-core power for smooth servo coordination).
Movement: 8 Degrees of Freedom (8-DOF) using MG90S metal-geared servos for extra durability.
Power Management: Integrated MP1584 DC-DC Step-Down converter to ensure stable 5V delivery, preventing the "brown-outs" common in DIY robotics.
Connectivity: Capable of being controlled via a smartphone app or web interface (via ESP32).
Bill of Materials (BOM)
Component | Quantity | Description |
ESP32 Dev Board | 1 | Main MCU (WiFi + Bluetooth) |
TowerPro MG90S Servos | 8 | High-torque metal gear servos (Hip & Knee) |
3D Printed Parts | 29 | Total parts for frame and legs |
M1.7 x 8mm Screws | ~60 | Self-tapping screws for mounting servos |
MP1584 Converter | 1 | Buck converter (7.4V down to 5V) |
18650 Li-ion Batteries | 2 | 3.7V cells in series (7.4V Total) |
Assembly & Print Tips
Print Settings: I recommend PLA or PETG with at least 3 perimeters for joint strength.
Infill: 20% (Gyroid recommended for vibration resistance).
Calibration: Ensure the MP1584 is tuned to exactly 5V using a multimeter before connecting your servos or ESP32 to avoid damage!
Cable Management: Use small zip ties to route servo wires along the leg segments to prevent them from catching during movement.
Attribution & Credits
The 3D geometry for this build is based on the fantastic design by RegisHsu. This version focuses on the electronics integration and power efficiency using the ESP32 ecosystem.