{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embodied AI 101","title":"Distilling a Swarm into 158 Million Parameters: Inside MiniUAV-VLA","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/aa73104b\"></iframe>","width":"100%","height":180,"duration":2017,"description":"Coordinating multiple unmanned aerial vehicles (UAVs) for cooperative missions requires agents that perceive their environment, reason about objectives, and generate joint actions. Vision–language–action (VLA) models unify these capabilities but lack efficiency for real-world multi-UAV deployment. This episode explores MiniUAV-VLA, a compact 158M-parameter model that uses MARL expert distillation to enable cooperative multi-UAV search and elimination missions.","thumbnail_url":"https://img.transistorcdn.com/l8CFsmXH35eVfcacIHndPwz_TJFZ0DzYC1nXc9Riruc/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOGM3/YThiZDUxOTM4M2Vi/N2YzMTNkZDFiNDJh/ZDI1Mi5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}