When robots and humans share a workspace, compute loads spike unpredictably — and static cloud offloading just doesn’t cut it. A new paper on arXiv (cs.RO, arXiv:2604.13542v1, submitted April 2026) maps a self-adaptation architecture where intelligent agents act as supervisors, dynamically scaling edge infrastructure and routing computation across the continuum. The bottleneck this solves isn’t bandwidth — it’s the latency cost of waiting for a central scheduler that doesn’t know what’s happening at the floor.

Source: arXiv cs.RO (Robotics)