  We present a system which grows and manages a network of remote viewpoints
during the natural installation cycle for a newly installed camera network or a
newly deployed robot fleet. No explicit notion of camera position or
orientation is required, neither global - i.e. relative to a building plan -
nor local - i.e. relative to an interesting point in a room. Furthermore, no
metric relationship between viewpoints is required. Instead, we leverage our
prior work in effective remote control without extrinsic or intrinsic
calibration and extend it to the multi-camera setting. In this, we memorise,
from simultaneous robot detections in the tracker thread, soft pixel-wise
topological connections between viewpoints. We demonstrate our system with
repeated autonomous traversals of workspaces connected by a network of six
cameras across a productive office environment.
