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Visual Components 5.1 Unveiled: Next‑Gen Factory Simulation for Autonomous Production

Visual Components, a leader in 3D manufacturing simulation and robot offline programming, today announced the launch of Visual Components 5.1, a significant upgrade that equips manufacturers to tackle the increasing complexity of autonomous production environments.

With its enhanced physics engine and scalable robot orchestration, the new version lets users model hundreds of autonomous mobile robots, AGVs, robotic arms, products, and personnel interacting concurrently throughout entire factory layouts.

As plants shift toward fully autonomous, connected, and intelligent systems, manufacturers face the challenge of coordinating robots, mobile vehicles, product flows, control logic, and human operators across the entire production floor.

Deploying without thorough pre‑deployment validation exposes firms to traffic bottlenecks, collision risks, commissioning delays, programming mistakes, layout inefficiencies, and expensive redesigns.

Visual Components 5.1 tackles these risks by offering realistic physics, controller‑logic validation, and dynamic factory modeling at unprecedented scale and precision, allowing changes to be vetted virtually before they hit the floor.

Visual Components 5.1 Unveiled: Next‑Gen Factory Simulation for Autonomous Production

Mika Anttila, CTO of Visual Components, explains: “Manufacturers are under increasing pressure to deploy more autonomous and flexible production systems, but the complexity of those environments is growing faster than many existing tools can handle. Our customers need to validate how hundreds of moving resources—robots, vehicles, products, and people—interact before anything is installed. With 5.1, we’re giving them a more scalable and realistic way to do that.”

Factory Planning and Operations

The 5.1 release enhances three core areas of the platform. Simulation now supports hundreds of AMRs and AGVs in a single environment, featuring advanced collision avoidance and performance up to ten times faster than earlier releases—making large‑scale mobile‑robotics validation feasible for the first time.

Connectivity gains include native support for Allen‑Bradley PLCs and new virtual commissioning plugins for Nachi and Epson robots, allowing key elements of the real production line to enter the simulation earlier in the project timeline.

Robot‑offline programming teams now benefit from a Python 3‑based scripting environment, supplanting the legacy system that previously limited developers when building and maintaining robot programs.

Collectively, these enhancements enable production leaders, factory planners, and automation engineers to validate a greater portion of the real system—including mobile fleets, control logic, and robot programs—before deploying changes on the shop floor.

Unlike solutions that isolate individual automation components, Visual Components 5.1 delivers a holistic simulation platform that models the entire factory—from robotics and material flow to human activity—empowering organizations to make data‑driven, confidence‑building decisions before committing capital.

The platform cuts reliance on assumptions, streamlines manual tweaks, enhances cross‑functional collaboration, and accelerates commissioning, shortening time‑to‑production.

Industries at the forefront of connected, autonomous production—automotive, electronics, logistics, and healthcare—stand to benefit most. These sectors combine conventional robot automation with mobile fleets and require controller‑accurate validation to mitigate commissioning risks across the entire system.

Mikko Urho, CEO of Visual Components, notes: “Manufacturing environments are increasingly dynamic, with mobile robots, automation, and connected systems opening new opportunities—and new complexity. Before investing or altering the plant, firms need assurance that their plans will perform as expected. Visual Components 5.1 lets manufacturers validate complex operations earlier in the planning cycle, reducing risk before deployment.”


Automation Control System

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