Invention:
This technology is a novel method of coordinating multi-agent aerial systems like drone teams to cover an unknown target. In this method, communications between agents are used to create a neural network to model ideal paths for each individual agent in a system, ultimately allowing the agents to converge at a desired target. This method is safe, effective, and more computationally efficient than current solutions.
Background:
Multi-agent systems involve multiple interacting agents that can collaboratively solve large-scale, complex problems that are hard to tackle with a single agent. They have vast applications, from defense and security to environmental monitoring and even entertainment. However, coordinating a multi-agent system is a complex and difficult task, and current technologies can implement only very simplistic versions of these systems. More efficient approaches to coordinating multi-agent systems are needed to unlock their vast problem-solving potential.
Applications:
- Aerospace
- Defense
- Agriculture
- Environmental monitoring
- Drone use
Advantages:
- Increased computational efficiency
- Fast
- Safe
- Decentralized coverage
