A High-Speed Heterogeneous Data Transmission Framework for Robot-Side End-Edge-Cloud Collaboration

Talk overview

This session presents a unified data-transfer framework spanning CPU memory, GPU memory, local interconnects, and network links for robot inference. Using DORA's tensor-pool implementation, it covers persistent memory pools, topology-aware path selection, reusable receiver views, and resource-lifetime management.