Edge Computing

Processing of sensor and operational data at or near the physical devices and systems generating it, rather than transmitting to a centralized cloud for processing.

Edge computing moves data processing from centralized cloud infrastructure to compute units deployed at or near the operational devices - onboard robots, in-facility servers, or local networking equipment. In warehouse robotics, edge computing reduces the latency between sensor data capture and operational decision: a robot that processes its navigation decisions on an onboard or local edge node responds faster than one dependent on round-trip cloud computation. Edge deployment also reduces dependency on network reliability and cloud connectivity, which matters in large facilities with variable wireless coverage. Edge infrastructure adds operational complexity and requires local maintenance capability. The appropriate balance between edge and cloud processing depends on the latency requirements of specific functions - navigation and safety responses require edge; analytics, reporting, and model training are well-served by cloud.

Related terms: Digital Twin · Task Orchestration · System Uptime