AGVs vs AMRs: What's Best for Smart Manufacturing?

Discover the key differences between AGVs and AMRs, and why autonomous mobility is becoming the standard in smart manufacturing.

AGV vs AMR

Why smart manufacturing is moving towards autonomous mobility

What they are, and why it matters  

AGVs and AMRs may appear similar at first glance, but their internal logic sets them apart. AGVs operate on predefined paths using floor-based guides such as magnetic tape or QR codes. They follow fixed commands and lack environmental awareness. AMRs, on the other hand, use sensors, onboard mapping, and real-time processing to navigate dynamically and make independent decisions.

While AGVs served well in structured automation, AMRs are built for the demands of smart manufacturing, where adaptability and real-time responsiveness are critical.

Navigation intelligence  

AGVs stop when something blocks their route. AMRs don’t. They scan their surroundings, adjust paths, and avoid collisions in real time. This real-world responsiveness is key for dynamic production environments where people, robots, and machines share the same floor.

Smart flexibility in layouts  

AGVs require floor modifications and predefined routes. AMRs don’t. They map and navigate with software, making them easier to deploy and scale, especially when production lines change frequently. In a smart manufacturing context, this flexibility is crucial.

Use cases: stable vs. dynamic  

AGVs work well in rigid, repetitive logistics tasks. AMRs dominate in flexible setups: mixed-product assembly, just-in-time delivery, or mobile inspections. As smart manufacturing grows, we see AMRs replacing AGVs in most new applications.

“Smart manufacturing demands systems that adapt, not just follow.”

Safety, integration, and the EDAS advantage  

AMRs offer built-in safety features like LiDAR and 3D vision, making them safer around humans. At Eleven Dynamics AG, our EDAS platform takes this a step further,  offering native integration with Omron AMRs, enabling seamless, real-world deployment. AMRs can now be simulated, tested, and programmed within EDAS before they even hit the floor.

Visual programming of AGVs in EDAS  

Even for AGVs, EDAS simplifies configuration. Within the software, users can place an AGV in a virtual scene, define positions, and simulate motion. Pressing “play” triggers a real-time path calculation — just like a physical AGV navigating a space.

The simulation automatically avoids collisions and finds optimal paths. We’ve also updated the workflow: now, robot positions can be saved to a list and reused via programmatic calls, making it easier to repeat motion sequences. Each movement generates a new, optimized path, mirroring real-life AGV logic.

From automation to autonomy  

At Eleven Dynamics AG, we see the shift from AGV to AMR as part of a larger evolution: from automation to true autonomy. For most smart manufacturing setups today, AMRs are the preferred path forward, and with platforms like EDAS supporting both AGV simulation and AMR integration, the transition has never been easier.

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