Kollmorgen Launches Layout Analysis Tool to Improve Mobile Robot Performance

Kollmorgen Launches Layout Analysis Tool to Improve Mobile Robot Performance

Robotics & Automation News
Robotics & Automation NewsApr 24, 2026

Why It Matters

Early detection of layout inefficiencies shortens deployment cycles and cuts operational costs, giving manufacturers a competitive edge in the fast‑growing automation market.

Key Takeaways

  • NDC Layout Assistant maps AGV/AMR routes in modular sections
  • Early bottleneck detection cuts layout redesign cycles
  • Visual cues flag underperforming path segments for quick fixes
  • Integrated with Kollmorgen’s fleet‑management platform for seamless control
  • Foundation for future AI‑driven route optimization

Pulse Analysis

The surge in automated guided vehicles and autonomous mobile robots has transformed material handling, yet many facilities still rely on trial‑and‑error to fine‑tune robot pathways. Traditional layout planning often occurs late in the design phase, forcing costly revisions when bottlenecks emerge during commissioning. As e‑commerce and just‑in‑time manufacturing demand ever‑faster throughput, the industry seeks predictive tools that can simulate performance before hardware hits the floor.

Kollmorgen’s NDC Layout Assistant answers that need by dissecting routes into granular segments and delivering real‑time metrics such as travel time, speed variance, and optimization levers. Visual cues instantly flag underperforming sections, allowing engineers to prioritize fixes without extensive physical testing. Because the assistant plugs directly into Kollmorgen’s existing fleet‑management suite, data flows seamlessly from simulation to execution, ensuring that route adjustments translate directly into controller parameters and operational dashboards.

Beyond immediate efficiency gains, the tool lays groundwork for next‑generation AI‑driven optimization. By aggregating segment‑level performance data, machine‑learning models can later predict optimal layouts for new facilities or dynamically re‑route robots as demand shifts. For manufacturers, this translates to faster time‑to‑value, reduced capital expenditure on re‑engineering, and a scalable path toward fully autonomous, data‑rich logistics networks. The NDC Layout Assistant thus positions Kollmorgen as a pivotal enabler of smarter, more agile industrial automation.

Kollmorgen launches layout analysis tool to improve mobile robot performance

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