https://github.com/the-swarm-corporation/droneswarmgpt
The system enables sophisticated coordination of multiple drones through natural language commands, visual inputs, and real-time environmental data.
https://github.com/the-swarm-corporation/droneswarmgpt
ai attention attention-is-all-you-need attention-mechanism drones ml multi-agent rnns ssms transformers
Last synced: 7 months ago
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The system enables sophisticated coordination of multiple drones through natural language commands, visual inputs, and real-time environmental data.
- Host: GitHub
- URL: https://github.com/the-swarm-corporation/droneswarmgpt
- Owner: The-Swarm-Corporation
- License: mit
- Created: 2024-12-15T23:06:25.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-15T23:11:27.000Z (10 months ago)
- Last Synced: 2024-12-16T00:18:15.217Z (10 months ago)
- Topics: ai, attention, attention-is-all-you-need, attention-mechanism, drones, ml, multi-agent, rnns, ssms, transformers
- Language: Python
- Homepage: https://swarms.xyz/
- Size: 2.17 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# DroneSwarmGPT
[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb)
DroneSwarmGPT is an enterprise-grade autonomous drone swarm control system powered by advanced multi-modal transformers and swarms.ai technology. The system enables sophisticated coordination of multiple drones through natural language commands, visual inputs, and real-time environmental data.
## Value Proposition
DroneSwarmGPT transforms drone fleet operations by providing:
- Autonomous coordination of multiple drones through a unified control system
- Natural language interface for intuitive mission planning and execution
- Multi-modal perception combining visual, spatial, and linguistic inputs
- Advanced formation control with dynamic adaptation to mission requirements
- Enterprise-grade safety constraints and failsafe mechanisms
- Scalable architecture supporting diverse deployment scenarios
## System Architecture
```mermaid
flowchart TB
subgraph Inputs
A1[Visual Input] --> B1
A2[Video Stream] --> B1
A3[Text Commands] --> B1
A4[Location Data] --> B1
end
subgraph Core["DroneSwarmGPT Core"]
B1[Multi-Modal Encoder] --> B2
B2[Transformer Layer] --> B3
B3[Context Processor] --> B4
B4[Action Generator]
end
subgraph Outputs
B4 --> C1[Drone 1 Actions]
B4 --> C2[Drone 2 Actions]
B4 --> C3[Drone n Actions]
end
subgraph Safety
D1[Safety Constraints] --> B4
D2[Formation Control] --> B4
D3[Mission Parameters] --> B4
end
```
## Data Flow
```mermaid
sequenceDiagram
participant O as Operator
participant E as Encoder
participant T as Transformer
participant C as Controller
participant D as Drones
O->>E: Input Commands & Data
E->>T: Encoded Features
T->>C: Processed Context
C->>C: Apply Safety Constraints
C->>C: Generate Actions
C->>D: Execute Commands
D->>E: Status Updates
```
## Key Features
- Multi-Modal Input Processing
- Visual scene understanding
- Video stream analysis
- Natural language command interpretation
- Real-time location tracking
- Advanced Coordination
- Dynamic formation control
- Collaborative task execution
- Adaptive mission planning
- Shared situational awareness
- Enterprise Safety
- Comprehensive safety constraints
- Real-time monitoring
- Failsafe mechanisms
- Secure communication protocols
## Installation
```bash
pip install droneswarmgpt
```
## Quick Start
```python
from droneswarmgpt import DroneSwarmSystem
# Initialize system
system = DroneSwarmSystem(
feature_dim=256,
num_drones=3,
enable_formations=True
)
# Process inputs and generate actions
drone_actions = system(
vision_input=camera_feed,
text_input=command_text,
location_input=gps_data
)
```
## Enterprise & Government Applications
DroneSwarmGPT is specifically designed for:
- Infrastructure Inspection
- Search and Rescue Operations
- Agricultural Monitoring
- Security Surveillance
- Emergency Response
- Environmental Monitoring
## Commercial Licensing
For enterprise licensing, governmental use, and commercial deployments, please contact:
Kye@swarms.world
## Technical Requirements
- Python 3.12+
- PyTorch 2.0+
- CUDA-capable GPU (recommended)
- 16GB RAM minimum
## Security and Compliance
DroneSwarmGPT implements enterprise-grade security measures:
- End-to-end encryption
- Role-based access control
- Audit logging
- Compliance with aviation regulations
- Data privacy protection
## Support
Enterprise customers receive:
- 24/7 Technical Support
- Custom Integration Assistance
- Training and Documentation
- Regular Security Updates
- Deployment Consultation
## Powered By
[swarms.ai](https://swarms.ai) - Advanced AI Solutions for Enterprise
---
© 2024 The Swarm Corporation. All Rights Reserved.
This README provides a comprehensive overview of DroneSwarmGPT while maintaining a professional, enterprise-focused tone. Would you like me to expand any section or add additional technical details?