E.RAMP - The Robot Analysis and Monitoring Portal

SPIE has developed a software-as-a-service product that leverages AI to increase the productivity of autonomous mobile robots (AMRs). It enables operators of autonomous robot fleets to evaluate efficiency and detect anomalies in real time.

Autonomous mobile robots, or AMRs, are widely used in intralogistics to make internal material transport more automated and flexible. However, during implementation and day‑to‑day operations, recurring issues inherent to these vehicles often arise. These include extended routes when obstacles block their paths, localization problems caused by dirty floors or external factors reducing wheel traction, and delays in automatic goods handover. Robot zones may be blocked by other vehicles, and emergency stop scenarios triggered by staff or unforeseen events can further disrupt operations.

Such disruptions reduce vehicle productivity and impact overall processes, yet they are often not immediately visible or traceable for operators. While the process continues, it takes longer to complete because the vehicle requires multiple attempts to successfully fulfill its mission.