Welcome to the Robotics-Automation Domain of ProjectHive! This domain covers robotics systems, automation projects, autonomous agents, and control systems.
What you'll find here:
- 🤖 Robot design and control
- 🚗 Autonomous navigation systems
- 🦾 Robotic arm control
- 🔧 Industrial automation
- 🧠 Robot vision and AI integration
Robotics-Automation/
├── Roadmap.md # Robotics learning path
├── MiniProjects/ # Robotics projects
│ └── Example_Robotics-Automation.md # Project template
└── Starter-Templates/ # Robotics templates
└── Starter_Robotics-Automation.md # Robotics starter templates
- Understanding of mechanics and electronics
- Programming skills (Python, C++)
- Basic control theory
- Mathematics (kinematics, dynamics)
- Microcontroller programming (Arduino, Raspberry Pi)
- Microcontroller: Arduino, Raspberry Pi, ESP32
- Motors: DC motors, servo motors, stepper motors
- Sensors: Ultrasonic, LiDAR, IMU, cameras
- Actuators: Servos, pneumatics, grippers
- Development Tools: Multimeter, soldering iron
- Review Roadmap: Check Roadmap.md for learning path
- Explore Projects: Browse MiniProjects/
- Use Templates: Start with Starter Templates
- Build Robot: Create your robotics project!
- 🚗 Line following robot
- 🤖 Obstacle avoiding robot
- 🦾 Simple robotic arm
- 🔄 Servo motor control
- 📡 Bluetooth controlled car
- 🤖 Autonomous mobile robot
- 🦾 Pick-and-place robotic arm
- 🚁 Quadcopter/Drone
- 🏭 Conveyor belt automation
- 🎯 Object sorting system
- 🚗 Self-driving car (miniature)
- 🦾 6-DOF robotic manipulator
- 🤖 SLAM navigation robot
- 🏢 Warehouse automation system
- 🦿 Humanoid robot
Get started with these templates:
-
Arduino Robot Base - View Template
- Motor control
- Sensor integration
- Basic navigation
-
ROS Robot Package
- Launch files
- Node structure
- Simulation setup
-
Raspberry Pi Robot
- Python control scripts
- Camera integration
- WiFi communication
- Electronics fundamentals
- Arduino programming
- Motor control (DC, servo)
- Basic sensors (ultrasonic, IR)
- Simple robot chassis
- Raspberry Pi with robotics
- Computer vision basics
- Encoder feedback
- PID control
- Wireless communication
- ROS (Robot Operating System)
- SLAM (Simultaneous Localization and Mapping)
- Path planning algorithms
- Inverse kinematics
- Sensor fusion
- Advanced control theory
- Multi-robot systems
- Deep learning for robotics
- Real-time systems
- Industrial automation protocols
📖 Full Roadmap: Roadmap.md
- ROS Documentation - Robot Operating System
- Arduino Reference - Arduino programming
- Raspberry Pi Docs - Pi reference
- OpenCV Documentation - Computer vision
- Gazebo - Robot simulation
- Robot Academy - Robotics fundamentals
- The Construct - ROS tutorials
- Udacity Robotics - Nanodegree
- MIT OpenCourseWare - Robotics courses
- Introduction to Robotics by John J. Craig
- Robotics, Vision and Control by Peter Corke
- Programming Robots with ROS by Morgan Quigley
- Gazebo - 3D robot simulator
- Webots - Robot simulation
- CoppeliaSim - Robot simulation
- ROS2 Tutorials - Hands-on ROS
- Arduino - Beginner-friendly
- Raspberry Pi - Linux-based computer
- ESP32 - WiFi/Bluetooth enabled
- Teensy - High-performance
- STM32 - Professional grade
- ROS / ROS2 - Robot Operating System
- Arduino IDE - Arduino development
- Python - High-level robotics
- OpenCV - Computer vision
- TensorFlow - AI for robotics
- Gazebo - 3D robot simulator
- RViz - ROS visualization
- PyBullet - Physics simulation
- MATLAB Robotics Toolbox - Analysis and design
- Motors: DC, servo, stepper, brushless
- Sensors: LiDAR, IMU, ultrasonic, cameras
- Controllers: Motor drivers (L298N, TB6612)
- Communication: I2C, SPI, UART, CAN
- OpenCV - Image processing
- YOLO - Object detection
- MediaPipe - Pose estimation
- TensorFlow Lite - Edge AI
YourRoboticsProject/
├── README.md # Project documentation
├── hardware/ # Hardware design
│ ├── cad/ # CAD files (STL, STEP)
│ ├── schematics/ # Circuit diagrams
│ └── bom.md # Bill of materials
├── firmware/ # Microcontroller code
│ ├── arduino/
│ └── esp32/
├── software/ # High-level control
│ ├── ros_ws/ # ROS workspace
│ └── python/ # Python scripts
├── simulation/ # Simulation files
│ └── gazebo/
├── docs/ # Documentation
│ ├── assembly.md
│ └── user-guide.md
└── media/ # Photos and videos
✅ DO:
- Provide complete hardware schematics
- Include STL files for 3D printed parts
- Document all pin connections
- Add safety warnings
- Include calibration procedures
- Provide video demonstrations
- Test thoroughly before submitting
- Add
**Contributor:** YourGitHubUsername
❌ DON'T:
- Skip safety considerations
- Use unsafe voltage/current levels
- Forget about wire gauge requirements
- Ignore mechanical stress calculations
- Submit untested code
# Project Name
**Contributor:** YourGitHubUsername
**Domain:** Robotics-Automation
**Difficulty:** [Beginner/Intermediate/Advanced]
## Description
Brief description of the robot and its capabilities.
## Features
- Autonomous navigation
- Object detection
- Remote control capability
- [Other features]
## Robot Specifications
| Specification | Value |
|--------------|-------|
| Dimensions | 30cm x 25cm x 15cm |
| Weight | 2.5 kg |
| Battery | 11.1V 2200mAh LiPo |
| Max Speed | 1 m/s |
| Runtime | 45 minutes |
| Payload | 500g |
## Hardware Components
### Electronics
| Component | Quantity | Specifications |
|-----------|----------|----------------|
| Raspberry Pi 4 | 1 | 4GB RAM |
| Arduino Uno | 1 | R3 |
| DC Motors | 4 | 12V, 200 RPM |
| Motor Driver | 2 | L298N |
| LiDAR | 1 | RPLiDAR A1 |
| Camera | 1 | Raspberry Pi Camera v2 |
| IMU | 1 | MPU6050 |
| Battery | 1 | 11.1V 2200mAh |
**Total Cost**: ~$250 USD
### Mechanical
- Robot chassis (custom 3D printed or kit)
- Wheels (4x 100mm)
- Motor mounts
- Couplings and brackets
## Circuit Diagram
### Pin Connections
**Arduino to Motor Driver:**
\`\`\`
Arduino L298N
------- -----
D5 --> IN1 (Motor A)
D6 --> IN2 (Motor A)
D9 --> IN3 (Motor B)
D10 --> IN4 (Motor B)
GND --> GND
\`\`\`
**Raspberry Pi to Arduino:**
\`\`\`
RPi GPIO Arduino
-------- -------
TX (GPIO14) --> RX
RX (GPIO15) --> TX
GND --> GND
\`\`\`
## Software Stack
- **OS**: Raspberry Pi OS (64-bit)
- **Framework**: ROS Noetic / ROS2 Foxy
- **Languages**: Python 3.8, C++
- **Vision**: OpenCV 4.5
- **Control**: PID controller
## Setup Instructions
### 1. Hardware Assembly
1. Assemble robot chassis
2. Mount motors and wheels
3. Install Raspberry Pi and Arduino
4. Connect all electronics as per circuit diagram
5. Secure battery and ensure proper weight distribution
### 2. Software Installation
**On Raspberry Pi:**
\`\`\`bash
# Update system
sudo apt update && sudo apt upgrade
# Install ROS
# Follow: http://wiki.ros.org/noetic/Installation
# Install dependencies
sudo apt install python3-opencv python3-pip
pip3 install pyserial numpy
# Clone repository
git clone <repo-url>
cd robot-project
\`\`\`
**On Arduino:**
\`\`\`
1. Open Arduino IDE
2. Load firmware/arduino/motor_control.ino
3. Select board: Arduino Uno
4. Upload code
\`\`\`
### 3. Calibration
\`\`\`bash
# Calibrate IMU
python3 scripts/calibrate_imu.py
# Calibrate motors
python3 scripts/calibrate_motors.py
# Test sensors
python3 scripts/test_sensors.py
\`\`\`
### 4. Running the Robot
**Manual Control:**
\`\`\`bash
python3 src/manual_control.py
# Use WASD keys to control
\`\`\`
**Autonomous Mode:**
\`\`\`bash
# Launch ROS nodes
roslaunch robot_control autonomous.launch
# Start navigation
rosrun robot_control navigate.py
\`\`\`
## Control Modes
1. **Manual**: Keyboard/joystick control
2. **Line Following**: Follows line on ground
3. **Obstacle Avoidance**: Navigates around obstacles
4. **Autonomous**: Full autonomous navigation with SLAM
## Algorithms Used
**Navigation:**
- A* path planning
- PID control for motors
- Sensor fusion (IMU + encoders)
**Vision:**
- Edge detection for line following
- YOLO v5 for object detection
- ORB-SLAM2 for mapping
## Performance
| Test | Result |
|------|--------|
| Line Following Accuracy | 95% |
| Obstacle Detection Range | 3 meters |
| Localization Error | < 5cm |
| Response Time | < 100ms |
## Safety Features
- Emergency stop button
- Low battery warning
- Collision detection
- Automatic shutdown on tip-over
## Demo
🎥 **Video**: [YouTube link]
📸 **Photos**: See `/media` folder
## Troubleshooting
**Robot doesn't move:**
- Check battery charge
- Verify motor driver connections
- Test motors individually
**Sensors not working:**
- Check I2C/SPI connections
- Run sensor test scripts
- Verify power supply
## Future Enhancements
- Add robotic arm for manipulation
- Implement voice control
- Add multi-robot coordination
- Upgrade to ROS2
## Safety Warnings
⚠️ **High Voltage**: LiPo batteries can be dangerous
⚠️ **Moving Parts**: Keep hands clear of motors
⚠️ **Sharp Edges**: Handle chassis with care
## References
- ROS navigation tutorials
- Robot kinematics calculations
- Component datasheets- Safety First: Always include emergency stops and safety features
- Modular Design: Make components replaceable and upgradable
- Power Management: Calculate current draw, use appropriate batteries
- Cable Management: Secure all wires, prevent tangling
- Testing: Test each subsystem before integration
- Documentation: Document every connection and configuration
- Simulation: Test in simulation before real hardware
- Version Control: Track both hardware and software versions
- DC Motors: Simple speed control
- Servo Motors: Position control (0-180°)
- Stepper Motors: Precise positioning
- Brushless Motors: High efficiency (drones)
- Ultrasonic: Distance measurement (2-400cm)
- LiDAR: 2D/3D mapping
- IMU: Orientation and acceleration
- Encoders: Motor position feedback
- Camera: Vision and detection
- Arduino: Real-time motor control
- Raspberry Pi: High-level processing
- Jetson Nano: AI at the edge
- PLC: Industrial automation
- 💬 Discuss in Discussions
- 🐛 Report in Issues
- 📖 Check Robotics Roadmap
- 📚 Browse Learning Resources
Ready to build robots? Check CONTRIBUTING.md to get started!
⭐ Star • 🍴 Fork • 🤝 Contribute