Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation

ArXi:2604.10170v1 Announce Type: cross The growing complexity of visuomotor policies poses significant challenges for deployment with heterogeneous robotic hardware constraints. However, most existing model-efficient approaches for robotic manipulation are device- and model-specific, lack generalizability, and require time-consuming per-device optimization during the adaptation process.