A world model lets one robot understand its surroundings. Borgswat goes beyond it: robots pool the GPU on board each unit and share what they see, so the whole team sees more, reasons faster and keeps moving with no cloud.
Each robot carries one set of sensors and one edge GPU. That is too little compute for a rich world model and too few viewpoints to see around corners. Sending everything to the cloud adds latency and bandwidth costs, and the robot stops dead when the connection drops.
A world model is one robot's private picture of its surroundings. Borgswat fuses every robot's sensors and compute into a single, continuously updated model that spans the whole team — one no single robot could build or run alone. Every member can read it, reason over it and act on it.
Inference jobs are split and scheduled across the edge GPUs of the whole team. Ten small robots together run models none of them could run alone.
One robot's camera is another robot's eye. Views from many angles are fused into a single scene, so occlusions and blind spots disappear.
The swarm is its own data center. No uplink is needed to perceive, plan or adapt, so the mission continues in tunnels, warehouses, disaster zones or contested airspace.
Robots find each other over a local mesh and advertise their sensors, position and spare GPU capacity.
Compact observations, not raw video, are exchanged and merged into a shared latent world state.
Prediction and planning workloads are sharded to whichever peers have the headroom right now.
Each robot acts on the team's view of the world. If a robot drops out, the rest re-balance the work and keep going.
# borgswat mesh · live swarm.peers 8 online // mesh, no uplink swarm.gpu_pool 8 × edge GPU → 1 pool swarm.world_model synced // shared latent state robot-03 view: occluded → borrowing eyes of robot-06 robot-05 gpu: 94% → offloading plan to robot-01 robot-07 link: lost → load re-balanced across 7 peers cloud not required
Built to run on the edge GPUs already inside AMRs, drones, quadrupeds and humanoids.
Robots exchange compact embeddings instead of raw streams, so modest local links are enough.
No leader, no single point of failure. The swarm re-forms whenever members join or leave.
Sensor data stays inside the team and on site. Nothing has to leave for a third-party cloud.
AMR fleets share one live map of aisles, people and pallets, and route around each other's blind spots.
Drones and ground robots map collapsed or underground sites together, where there is no signal.
Teams cover plants, pipelines and wind farms from many angles at once, and process the data at the edge.
Robots across a field act as one sensing and decision network, far from any data center.
The future of robotics isn't a smarter robot.— Borgswat
It's a smarter team.
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