# Yahboom Integration Summary
## Overview
Yahboom Robotics platforms have been integrated into the robotics-mcp server and robotics-webapp repositories. This provides comprehensive support for modern ROS2-based robots with multimodal AI capabilities.
## What Was Integrated
### 1. MCP Server Integration (`robotics-mcp/docs/YAHBOOM_INTEGRATION.md`)
#### Core Components Added:
- **ROS2 Bridge Pattern**: Seamless integration with existing ROS1 infrastructure
- **Unified Robot Control**: Yahboom support integrated into `robot_control` portmanteau tool
- **Virtual Yahboom Support**: Yahboom robots added to `vbot_crud` for virtual testing
- **Multimodal AI Support**: Vision, voice, and text processing via AI queries
- **Sensor Integration**: Camera, LiDAR, IMU data handling
- **Navigation System**: SLAM and autonomous navigation
#### Integrated Operations Available:
```python
# Physical Yahboom control via robot_control tool
await robot_control(robot_id="yahboom_01", action="get_status")
await robot_control(robot_id="yahboom_01", action="home_patrol")
await robot_control(robot_id="yahboom_01", action="ai_query", query="What's in front of me?")
# Virtual Yahboom creation via vbot_crud tool
await vbot_crud(operation="create", robot_type="yahboom", platform="unity")
```
#### ROS2 Launch Integration:
- Complete launch files for Yahboom robots
- Navigation stack integration
- Sensor data publishing
- AI service integration
### 2. Webapp Integration (`robotics-webapp/docs/YAHBOOM_WEBAPP_INTEGRATION.md`)
#### Frontend Components:
- **YahboomRobotCard**: Robot status and control interface
- **YahboomControlPanel**: Manual and autonomous control
- **YahboomSensorDisplay**: Real-time sensor visualization
- **YahboomAIModal**: AI assistant interface
#### Backend Services:
- **YahboomWebappService**: Robot connection management
- **WebSocket Handler**: Real-time command/response
- **REST API**: Status monitoring and control
- **State Management**: React context for Yahboom robots
#### UI Features:
- Real-time sensor data visualization
- LiDAR scan display
- Camera feed streaming
- AI conversation interface
- Navigation controls
## Supported Yahboom Models
### Primary Focus - ROSMASTER M1
- **Price**: €282 (~$300)
- **Features**: Multimodal AI, ROS2, SLAM navigation
- **Integration Level**: Full MCP and webapp support
### Additional Supported Models
- **DOGZILLA Series**: Quadruped robots with AI
- **DOFBOT Series**: Robotic arms with vision
- **ROSMASTER X3 PLUS**: Premium ROS platform
- **JetCobot**: 7-axis collaborative arms
## Technical Architecture
### MCP Server Architecture
```
robotics-mcp/
├── src/robotics_mcp/tools/
│ ├── yahboom_bridge.py # ROS2 bridge
│ └── yahboom_tools.py # MCP tools
├── docs/
│ └── YAHBOOM_INTEGRATION.md # Integration guide
└── config/
└── yahboom_config.yaml # Robot configurations
```
### Webapp Architecture
```
robotics-webapp/
├── src/components/robots/yahboom/
│ ├── YahboomRobotCard.tsx
│ ├── YahboomControlPanel.tsx
│ ├── YahboomSensorDisplay.tsx
│ └── YahboomAIModal.tsx
├── src/contexts/
│ └── YahboomContext.tsx
├── backend/
│ ├── yahboom_service.py
│ └── yahboom_websocket.py
└── docs/
└── YAHBOOM_WEBAPP_INTEGRATION.md
```
## Integration Benefits
### For MCP Server
1. **Expanded Robot Support**: From Moorebot-only to multi-platform
2. **Modern ROS2**: Future-proof robotics framework
3. **AI Integration**: Multimodal capabilities beyond basic control
4. **Research Applications**: Suitable for academic and industrial use
### For Webapp
1. **Unified Interface**: Control Yahboom robots alongside virtual robots
2. **Real-time Visualization**: Sensor data and AI analysis display
3. **AI Assistant**: Natural language robot interaction
4. **Scalable Architecture**: Support for multiple concurrent robots
## Configuration Examples
### MCP Server Configuration
```yaml
# config/yahboom_config.yaml
yahboom:
robots:
- id: "rosmaster_m1_001"
name: "Lab Robot"
model: "rosmaster_m1"
ip: "192.168.1.100"
port: 9090
ai_enabled: true
navigation_enabled: true
```
### Webapp Configuration
```typescript
// Robot configuration in webapp
const yahboomConfig = {
id: 'yahboom-001',
name: 'ROSMASTER M1',
model: 'rosmaster_m1',
config: {
ip: '192.168.1.100',
port: 9090
}
};
```
## Testing and Validation
### MCP Server Testing
```bash
# Test Yahboom tools
python -m pytest tests/unit/test_yahboom_tools.py -v
# Test ROS2 integration
python -m pytest tests/integration/test_yahboom_integration.py -v
```
### Webapp Testing
```bash
# Test frontend components
npm test -- --testPathPattern=yahboom
# Test backend services
python -m pytest backend/tests/test_yahboom_service.py -v
```
## Deployment
### Docker Integration
```dockerfile
# Multi-stage build for Yahboom integration
FROM ros:humble-ros-base AS ros-base
RUN apt-get update && apt-get install -y ros-humble-navigation2
FROM python:3.11-slim AS python-base
RUN pip install yahboom-sdk yahboom-ai
FROM python-base AS final
COPY --from=ros-base /opt/ros /opt/ros
COPY . /app
WORKDIR /app
CMD ["python", "-m", "robotics_mcp.server"]
```
### Production Setup
1. **Hardware**: Connect Yahboom robot to network
2. **ROS2**: Install ROS2 Humble on control machine
3. **SDK**: Install Yahboom Python SDK
4. **Configuration**: Update robot IP addresses
5. **Testing**: Validate all tools and webapp components
## Future Enhancements
### Planned Features
1. **Multi-Robot Coordination**: Swarm robotics support
2. **Advanced AI Models**: Custom model training integration
3. **Cloud Integration**: Remote robot monitoring
4. **VR Integration**: Virtual reality robot control
### Expansion Opportunities
1. **DOGZILLA Integration**: Quadruped locomotion research
2. **DOFBOT Integration**: Manipulation and grasping
3. **JetCobot Integration**: Industrial applications
## Summary
The Yahboom integration significantly expands the robotics ecosystem from a single Moorebot Scout to a comprehensive multi-platform robotics framework. Key achievements:
- ✅ **Unified robot control** - Yahboom integrated into existing `robot_control` portmanteau tool
- ✅ **Virtual Yahboom support** - Yahboom robots added to `vbot_crud` for virtual testing
- ✅ **Multimodal AI capabilities** - Vision, voice, and text processing via AI queries
- ✅ **Complete ROS2 client** - Full ROS2 bridge with navigation, camera, and arm control
- ✅ **Modern conversational AI** - Rich response formats with safety warnings and recommendations
- ✅ **Multimodal AI** capabilities beyond basic robot control
- ✅ **Research-grade platform** suitable for academic and industrial applications
This integration positions the robotics platform as a comprehensive solution for both educational and professional robotics applications, with Yahboom providing the modern ROS2 and AI capabilities that complement the existing virtual robotics infrastructure.
