The good boy quadruped robot :)
🚨🚧 Project Under Construction! 🚧🚨
Here's a sneak peek of our current progress:
Stay tuned for updates and feel free to reach out with suggestions! Let's build Botzo together! 🛠️
📬 Email us at: botzoteam@gmail.com
Our Instagram
Botzo is an autonomous quadruped robot designed to:
- Navigate complex terrains 🌄
- Collect data and samples 📊
- Interact with its environment 🌍
This project combines sleek design, cutting-edge technology, and practical functionality to redefine robotic mobility.
Botzo's development is divided into multiple phases, each focusing on specific aspects of its design, hardware, and software. We're actively working through these stages to bring the robot to life!
We stand in the middle of a trade of between high quality software and hardware, with low cost and affordability.
Botzo is aimed to be a strong platform for everyone to replicate under 500€
- Processing Unit: Raspberry Pi 4 (future: Jetson Nano).
- Actuators: Optimizing torque for robust movement (25kg servos x3 per leg).
- Power Supply: Batteries capable of delivering ~30 minutes of runtime under typical conditions.
- Sensors: Integrating components for environmental awareness. Botzo top is universal base for attaching fourther components, such as webcam and LiDAR.
For a deeper dive into this phase, check out our Canva Board Proposal.
Components List
| Quantity | Component | Link | Price (Single) | Component Total | Status | Description | Measures (cm) |
|---|---|---|---|---|---|---|---|
| x1 | Arduino Mega | Amazon | 25.99€ | 25.99€ | In the lab | Control over servos and IMU | |
| x1 | Raspberry Pi | - | - | - | In the lab | Brain | |
| x1 | Raspberry Pi camera module V2 8MP | Amazon | 13.79€ | 13.79€ | In the lab | Camera module for Raspberry | |
| x1 | Buck converter 5V-5A out | Amazon | 11.99€ | 11.99€ | In the lab | Buck converter 5V-5A (25W) for Rpi | |
| x5 | Buck converter 5-40V 12A out | Amazon | 35.99€ | 35.99€ | In the lab | Buck converters for servos | 6x5x2 |
| x12 | Servo DS3225 25kg | - | - | - | In the lab | Actuators for legs | |
| x1 | MPU-6050 | - | - | - | In the lab | Balancing sensor | 2x2.3x0.7 |
| x2 | LiPo batteries RC | Amazon | 45.99€ | 91.98€ | In the lab | Power in series | |
| x1 | Oled Display | Amazon | 9.99€ | 9.99€ | In the lab | Display informations | |
| x1 | PS3 controller | Amazon | 17.99€ | 17.99€ | In the lab | PS3 controller to move robot | |
| x20 | 8x3x4 mm bearings | Amazon (x2) | 7.09€ | 14.18€ | Need to buy | Bearings for moving parts | |
| x4 | 10x5x4 mm bearings | For shoulder stronger axes | |||||
| x1 | Dean T Connectors | Amazon | 9.99€ | 9.99€ | In the lab | Connection of the circuit | |
| x1 | Cables 14 AWG | Amazon | 25.5€ | 25.5€ | In the lab | Cables high current | |
| x1 | Cables 10 AWG | Amazon | 16.99€ | 16.99€ | Need to buy | Cables high current | |
| x1 | TPU Bambu filament | Bambu | 44.73€ | 44.73€ | Need to buy | TPU for foot | |
| Set of M3, M2.5 and M2 screws | |||||||
| Set of inserts for M3, M2.5 and M2 screws |
Total: 256.39€
Price can vary depending on what you already have, but the goal is to stay under 500€
Key steps include:
- Fusion 360 Design ✍️
- Shock-absorbing dampers 💨
- Ball bearings for smoother movement ⚙️
- Servo testing and optimization ⚡
- Inverse kinematics calculations 📐
- Designing a test rig for movement evaluation 🛠️
Inspired by servo quadruped designs, the leg focuses on stability and efficient torque distribution. Check out our Hackaday reference.
Developing a comprehensive body framework to house all components.
- Implementing IK for a 3-DoF single leg: Repository
- Rotation matrices and transformations for body movements: Repository
Future improvements include a parallelized implementation in C++ for better performance.
Using an Inertial Measurement Unit (IMU) to enhance stability. Repository
Implementing trajectory planning and efficient gait algorithms for smoother movement.
Adding wireless control capabilities for remote operation.
Developing vision algorithms for terrain and object detection.
Building a simulation platform for virtual testing.
Creating a stabilization algorithm to maintain balance during movement.
Introducing adaptive behavior using RL techniques.
Adding depth perception capabilities.
Designing and integrating a robotic arm for advanced interaction.
Building a mobile app for centralized control of Botzo.
This project is a living document. Each phase is iteratively improved to ensure Botzo achieves optimal performance. For example, Phase 7's trot gait will be refined for faster and more fluid motion.
Check out our shared Google Drive folder for additional resources and documentation.
Stay tuned for more updates and get involved with the Botzo journey! Contributions and suggestions are always welcome. 🎉