Automation of production lines in many plants has already reached a high level of maturity. Stationary robots, palletizing systems, and advanced assembly stations operate with impressive repeatability. Yet, in practice, it’s not production, but internal transport that increasingly limits throughput. Repeated trips between the line and the warehouse, manual handling of components, and end-of-line handling generate downtime and inefficiencies. In this context, Autonomous Mobile Industrial Robots (AMRs) are becoming a strategic element. The MiR (Mobile Industrial Robots) family of robots has set the standard for autonomous intra-warehouse transport—no rails, no magnetic tapes, and no costly infrastructure disruption. The result is a solution that truly transforms the architecture of logistics processes, enabling scalable and consistent transport automation, from light loads to heavy pallets weighing over a ton.
Scalability as the foundation of optimization
One of the key distinguishing features of MiR robots is their payload range – from 250 kg to 1350 kg (models available from Lintegra: MiR250, MiR600, MiR1200 Pallet Jack, and MiR1350). In practice, this means a single system can handle a wide variety of transport types – from small components, through containers and semi-finished products, to heavy pallets. Crucially, these robots operate within a single management environment (MiR Fleet) and share common facility maps. This means implementation doesn’t involve combining independent solutions, but building a single transport system that can be scaled by adding additional robots, expanding the work area, or introducing new types of transport tasks. From an operational perspective, this eliminates the need to redesign the logistics concept as production increases – a single, coherent system is developed.
Light industry – smooth production supply
In light-duty transport applications, not only lifting capacity is crucial, but also operational dynamics, maneuverability, and the ability to operate in confined spaces. The MiR250 was designed for precisely these scenarios:
- load capacity – up to 250 kg,
- maximum speed – up to 2.0 m/s,
- compact width (~580 mm), enabling operation in narrow aisles and between stations,
- operating time up to approximately 10 hours with a standard load,
- automatic docking to a charging station.
In practice, the robot performs repetitive transport tasks, such as delivering components to assembly stations or collecting empty containers. Integration with MiRGo modules (e.g., roller conveyors) enables automatic load transfer without operator intervention.
Technically, this translates into a stable rhythm of production supply (no delays resulting from employee availability), reduced manual transport, and greater predictability of material flows, which is important when planning production and the work of operators.
Production environments with increased requirements
Not all processes are carried out in typical warehouse conditions. In many plants, transport takes place directly on the production floor, where dust, humidity, or variable environmental conditions are present. The MiR600 is used for such applications, whose parameters allow for stable operation in more challenging conditions:
- load capacity – up to 600 kg,
- protection class – IP52,
- speed - up to 2.0 m/s,
- sesigned for continuous operation.
The IP52 protection rating means resistance to limited dust ingress and angled water droplets, allowing for operation in production environments where standard transport solutions require additional protection. From a process perspective, this enables the expansion of automation into previously more difficult areas, such as the transport of semi-finished products between production cells or the management of buffer zones.
Heavy industry – pallet transport automation
The MiR1200 Pallet Jack and MiR1350, however, are truly transforming pallet transport. Equipped with AI-powered perception, the MiR1200 automatically identifies pallets and their pockets, maintaining high pick-up efficiency even when the pallet is not perfectly straight. The MiR1350, capable of transporting loads exceeding one ton, takes on the repetitive routes typical of forklifts, but does so in a much more consistent manner, with controlled speed, consistent cycle quality, and predictable behavior in a shared environment. The result is not only automation of the journey itself, but a higher level of stability for the entire end-of-line process—from pickup at the end of the line to delivery to a buffer zone or warehouse.
In this context, scalability isn’t simply about “more payload = more capabilities.” Its real value lies in the ability to build a single, common AMR fleet that shares maps, task standards, and management methods. This allows the transportation system to grow without fragmenting solutions, and subsequent automation stages don’t require redesigning the concept, merely expanding it.
Intelligent navigation and fleet management – an advantage over AGVs
Classic AGVs relied on physical guides—magnetic tapes, QR codes, and reflectors. Any modification to the hall layout required intervention in the infrastructure and additional adaptation work. In the case of MiR, we’re talking about navigation based on an environmental map and ongoing analysis of data from 2D/3D scanners. The robot creates a baseline map of the facility and then compares it in real time with readings from laser scanners and 3D cameras. Fixed elements—walls, columns, gates—serve as natural reference points. This allows for route changes to be made in minutes within the application, eliminating production downtime and maintenance costs. In models such as the MiR1200 and MiR1350, artificial intelligence enables object discrimination (human, forklift, cardboard), dynamic obstacle avoidance, and precise docking with millimeter accuracy.
Multiple robots are managed through MiR Fleet. This system coordinates tasks, optimizes traffic in narrow aisles, and prevents traffic jams. In practice, this means that the AMR fleet operates as a single entity, not a collection of independent vehicles. This is where the real competitive advantage comes in – the ability to dynamically scale the number of robots as production volumes increase, without infrastructure redevelopment.
MiRGo Ecosystem – a robot as a process platform
In mature organizations, the robot isn’t an end in itself—it’s a process driver. The MiRGo ecosystem allows the mobile platform to be used as a base for dedicated functional modules. The robot can be equipped with roller conveyors for automatic line removal, lifts for rack transport, pallet structures, or even collaborative arms, creating mobile handling stations.
At the end of production lines, MiR robots become a natural link between the packaging process and further internal transport, ensuring smooth and fully automated pallet transfer between successive stages of the operation. For companies operating a just-in-time model, continuous operation and autonomous charging between tasks are particularly important. Lithium-ion batteries, a high number of charging cycles, and rapid recharging (several minutes = several hours of operation) minimize the risk of downtime.
As an integrator, Lintegra doesn’t just supply the robot; it designs the entire material flow—from ROI analysis and flow simulations to implementation and service. This approach is crucial when automation aims to significantly improve performance indicators and shorten cycle times.
With increasingly automated production lines, internal transport is now crucial for real-world throughput and operational stability. The MiR robot family allows for a systemic approach to this area – from lightweight component deliveries, through operation in more challenging environments, to fully autonomous transport of pallets weighing over a ton – all within a single, coherently managed fleet. In practice, this means not only replacing individual journeys but also streamlining the entire logistics of end-of-line processes.