Research Index

A novel framework integrating large language models with microgrid control systems for intelligent predictive maintenance and resource optimization. The system combines natural language processing of maintenance logs, sensor data analysis, and reinforcement learning to create self-healing power networks that can anticipate failures and automatically adjust resource allocation.

A novel framework combining wireless power transfer technology with multi-agent LLM systems to create self-healing, adaptive energy distribution networks. The system uses AI to optimize power transfer paths, predict equipment failures, and automatically reroute energy flow while maintaining system stability under various attack scenarios.

A novel framework combining large language models and formation control for surgical robot swarms, enabling real-time adaptation to dynamic surgical environments. The system uses LLM reasoning capabilities to interpret surgical context and guide precise multi-robot coordination while maintaining safety constraints.