Kuka launches automation management platform

AMP will bridges physical and digital worlds to take AI to physical production
May 5, 2026
3 min read

Kuka Group unveiled Mar. 19 at Nvidia’s GTC event its Automation Management Platform (AMP) for taking physical artificial intelligence (AI) from innovation to real-world production.

“As the boundaries between AI and physical automation disappear, one of the biggest questions is who will own the interface between AI models and the real world?” says Melonee Wise, chief software and AI product officer at Kuka. “Kuka AMP orchestrates robots, fleets, work cells and digital twins. It speedily bridges physical and digital worlds, enabling intent-based robotics, fleet intelligence, and scalable AI-driven automation.”

Kuka AMP is expected to be the group’s base for automation by building on it longstanding robotics expertise, and combining it with software and an AI stack for industrial applications. It will standardize semantics, actions and data across assets, and make automation easier, scalable, predictable and safe.

“While ‘AI-first robotics’ can impress in laboratory settings, it often struggles to deliver consistent results in real-world production, where models must understand and generalize each environment and evolve to achieve the repeatable precision industry demands,” adds Marc Fleischmann, chief software and AI officer at Kuka. “Kuka AMP addresses this challenge by standardizing how AI reasons, decides and acts in the physical world.”

Kuka AMP’s core is a scalable platform layer that sits between AI agents and physical hardware. It provides three main capabilities that translate high-level goals into safe, repeatable outcomes on real machines:

  • Semantics (the “so what”) include intent-based operations with a shared semantic context that abstracts the real world into machine-readable meaning. This lets AI reason about outcomes rather than rely on hard-coded device specifics.
  • Actions (the “how”) consists of a shared control interface with standardized action primitives (basic, reusable commands), so AI agents can safely execute intent consistently across different robots, AMRs, work cells and equipment.
  • Data (the “what”) is a structured, consistent information stream that captures state and operational signals to drive continuous learning and closed loop optimization.

When operating, Kuka AMP will interpret, observe, act, repeat and predict in a closed loop, optimizing across real environments and its embedded digital twin. This will yield a virtuous cycle, where every mission, task and exception improves the next. It’s built as an open, composable application programming interface (API) platform to orchestrate all elements of automation in one environment. From autonomous mobile robots (AMR) to industrial robots, as well as work cells, software tools and digital services, it provides an end-to-end view from initial design and simulation through to deployment, monitoring, optimization and continuous learning.

About the Author

Jim Montague

Executive Editor

Jim Montague is executive editor of Control. 

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