Edge-cloud collaborative inference splits the inference graph into two parts, with the lightweight layer deployed on the robot side and the heavy layer placed in the cloud, transmitting features rather than raw video through a high-speed network in between, thereby reducing bandwidth pressure and end-to-end latency.