Fleet Learning

Aggregating data and experience from multiple deployed robots to collectively improve a shared policy or model. When one robot encounters a new scenario, the learned adaptation can benefit all robots in the fleet. Fleet learning accelerates the data flywheel proportionally to fleet size. Challenges include data heterogeneity, communication bandwidth, and privacy in multi-customer deployments.