Closing the latency gap: Why physical AI requires edge-first architectures
therobotreport.com May 3, 2026

Closing the latency gap: Why physical AI requires edge-first architectures

AI-summarised brief · reviewed before publication

Latency poses safety risks in collaborative assembly cells, where even modest network delays can hinder human-robot collaboration. Edge-first architectures can close this latency gap by moving AI inference to the edge and establishing a direct bridge to the robot controller. This approach enables dynamic kinematic adjustments, maintaining cycle time and safety. ISO/TS 15066 requires speed and separation monitoring, which is challenging with traditional cloud-based vision systems.

💡 Why It Matters

  • · Real-time safety monitoring requires deterministic end-to-end latency below 30 ms, which is only possible with edge processing.
  • · By bypassing legacy PLCs, manufacturers can enable proactive safety methods, reducing the need for conservative speeds and frequent protective stops.