Toward Self-Evolving Agentic AI for ISAC-Enabled Low-Altitude Wireless Networks
This paper proposes a self-evolving agentic artificial intelligence (AI) framework for low-altitude wireless networks (LAWNs), introducing integrated sensing and communication (ISAC) into a unified self-evolution paradigm that transforms static foundation models with passive perception into fully autonomous, self-evolv...