How can ADMM assign security tasks in a distributed robot system?
Distributed Online Task Assignment via Inexact ADMM for unplanned online tasks and its Applications to Security
This paper proposes a distributed algorithm for assigning tasks to multiple robots, prioritizing critical security tasks while allowing for flexible responses to unplanned tasks. It leverages inexact ADMM to decompose the problem, enabling distributed computation among robots with local communication. A key application is explored: co-observation-secured map exploration, where robots monitor each other to detect malicious deviations. This integrates with the task assignment to ensure security is maintained even when responding to unplanned tasks. This approach could be relevant to LLM-based multi-agent systems where agents need to coordinate complex tasks while maintaining security and responding to unforeseen events in a distributed manner. The focus on decentralized computation and robust task prioritization aligns with the challenges of building distributed and reliable multi-agent applications.