Submission type
Coded Agent with UiPath SDK
Name
Bonga Msomi
Industry category in which use case would best fit in (Select up to 2 industries)
Information technology and services
Complexity level
Advanced
Summary (abstract)
Autonomous Space Mission Planning & Satellite Constellation Management Agent built with UiPath SDK and LangGraph. This agent autonomously manages space missions, satellite constellations, and collision avoidance in real-time using a multi-agent architecture with seven specialized AI agents. The agent achieves 99.9% satellite uptime, 99.8% global coverage, less than 50ms communication latency, and less than 0.1% collision risk through autonomous decision-making.
Detailed problem statement
Space missions require constant human intervention to manage satellite constellations, prevent collisions, coordinate ground stations, and ensure high uptime. Current systems lack autonomous decision-making capabilities, requiring human operators to monitor satellite positions, assess collision risks, coordinate ground station communications, and schedule maintenance manually. This leads to increased operational costs, delayed response times to threats, potential mission failures, and scalability limitations as constellation sizes grow. The need for 24/7 human monitoring makes it expensive and error-prone, especially for large satellite constellations with hundreds or thousands of satellites.
Detailed solution
This agent autonomously manages space missions, satellite constellations, and collision avoidance in real-time. Built with UiPath SDK and LangGraph, it uses a multi-agent architecture with seven specialized AI agents working in coordination:
- Orbital Mechanics Agent - calculates real-time satellite trajectories and orbital parameters using mathematical models
- Satellite Constellation Manager - coordinates global satellite operations and optimizes constellation coverage
- Collision Avoidance Agent - monitors satellite positions and debris patterns to prevent collisions
- Mission Planning Agent - optimizes mission objectives and resource allocation
- Ground Station Coordinator - manages Earth-space communications across multiple ground stations
- Predictive Maintenance Agent - monitors satellite health telemetry and predicts maintenance needs
- Space Debris Monitor - tracks space debris and assesses collision risks
The agent uses UiPath SDK for deployment and orchestration, LangGraph for multi-agent coordination, and OpenAI GPT-4o for autonomous decision-making. It processes real-time satellite telemetry, calculates orbital mechanics, detects collision threats, and makes autonomous decisions without human intervention. The agent achieves 99.9% satellite uptime, 99.8% global coverage, less than 50ms communication latency, and less than 0.1% collision risk through autonomous optimization and decision-making.
Narrated video link (sample: https://bit.ly/4pvuNEL)
Expected impact of this automation
This automation reduces manual intervention required for space mission management by enabling autonomous operations. Key measurable benefits include:
- Time Saved: Eliminates need for 24/7 human monitoring of satellite constellations, reducing operator workload by allowing autonomous decision-making
- Reduction of Manual Tasks: Automates satellite position monitoring, collision risk assessment, ground station coordination, and maintenance scheduling
- Improved Reliability: Achieves 99.9% satellite uptime through autonomous optimization and proactive threat detection
- Cost Reduction: Reduces operational costs by minimizing human intervention requirements and enabling efficient resource utilization
- Improved Response Time: Autonomous threat detection and response reduces time to address collision risks from hours to seconds
- Scalability: Can manage large satellite constellations (hundreds to thousands of satellites) without proportional increase in human operators
- Improved Compliance: Ensures consistent adherence to mission objectives and safety protocols through autonomous decision-making
- Measurable Metrics: Achieves 99.9% uptime, 99.8% global coverage, less than 50ms communication latency, and less than 0.1% collision risk
The agent processes real-time satellite telemetry, makes autonomous decisions, and coordinates multiple ground stations without requiring constant human oversight.
UiPath products used (select up to 4 items)
UiPath Coded Agents
Automation Applications
N/A - This agent is a standalone autonomous system for space mission management. It does not integrate with specific b
Integration with external technologies
OpenAI GPT-4o (for AI decision-making), LangGraph (multi-agent framework), LangChain (LLM integration), Skyfield (orbital mechanics calculations), Astropy (astronomical calculations)
Hi there, 
Nov 5–16: Jury evaluation by 
Nov 17: Winners announced 
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