Collaborative Robotics in Logistics: Where It Actually Pays

Collaborative robotics delivers the most value in internal logistics at three points: end-of-line operations, line feeding and assembly replenishment, and plants under simultaneous pressure from volume, product variability and limited space. Cobots automate the task at a fixed station. AMRs automate the movement between stations. The larger gain comes when both are in place, so automation supports the whole material flow rather than one isolated point in it.

Getting there starts with a diagnosis of where flow actually breaks, not with a shortlist of robots. What follows is how to make that assessment, and what it looked like at one plant that made it.

What is collaborative robotics in internal logistics?

Collaborative robotics in internal logistics — the movement of material inside a plant, often called intralogistics — is the use of collaborative robot arms (cobots) and autonomous mobile robots (AMRs) to automate material handling and transport in shared, unfenced spaces, alongside people and without redesigning the existing layout.

The division of labour is the part worth being precise about. Cobots handle the task itself: picking, packing, palletizing, loading a machine. AMRs handle the flow: moving pallets, containers and semi-finished goods between stages, plus the empty returns that rarely appear on anyone's efficiency dashboard.

Two technologies, two different moments in the same process. That distinction is what makes it possible to say where automation will pay and where it won't.

Cobots and AMRs compared

• What it automates — Cobots: the task at a fixed point. AMRs: the movement between points.

• Typical applications — Cobots: palletizing, depalletizing, packing, pick and place, sorting, machine tending. AMRs: pallet transport, line feeding, workstation replenishment, empty container returns, moves between departments.

• Where the value shows up — Cobots: accuracy and repeatability held steady across changing formats and batch sizes. AMRs: flow continuity, fewer waiting states, fewer operators acting as material handlers.

• What the site has to provide — Cobots: working space at the station, gripping and vision suited to the product mix. AMRs: navigable routes, defined pick-up and drop-off points, traffic logic.

• Main constraint — Cobots: payload and reach, and cycle time against dedicated hard automation. AMRs: route congestion, and throughput ceilings in very high-volume single-lane flows.

• How each is reconfigured — Cobots: compact enough to physically relocate between areas as demand shifts. AMRs: missions and routes updated in software rather than in steel.

Why internal logistics is where industrial efficiency is contested now

Internal logistics stayed in the background of the industrial conversation for a long time. Attention went to productivity, quality, line automation and cycle times. Less went to what happens between one stage and the next: material transfer, workstation replenishment, pallet handling, end-of-line operations, intermediate buffers, empty returns.

That gap is where waiting times, micro-stoppages and hidden costs accumulate. None of them appear as a line item. All of them show up in delivery performance.

The picture has changed. In many plants, logistics and intralogistics are now treated as a primary test of whether a company can be fast, flexible and resilient, rather than as support functions. Which reframes the question for most operations leaders. It isn't whether to automate. It's where collaborative automation generates the most value.

Where collaborative automation earns its place: three areas

1. End-of-line operations

End of line is where repetitive, physically demanding work converges: pick and place, packing, case loading, sorting, pallet building.

The argument for collaborative robotics here isn't only throughput. It's that accuracy and stability hold when batch sizes vary, product formats change and the production mix is nowhere near standardized. Flexibility, fast reconfiguration, a compact footprint and the ability to work in an existing space without disrupting the layout are less eye-catching than speed or payload figures. On a real shop floor they're usually more decisive.

2. Line feeding and assembly bay replenishment

Here the challenge isn't executing one complex movement. It's continuity. If material doesn't arrive at the right place at the right time, the line slows, operators wait, or they become material handlers.

This is common in plants with open layouts, multiple interconnected departments and heavy internal movement of pallets and containers. In these cases the useful way to think about AMRs is not as forklift replacements but as a way to stabilize flows, cut repetitive missions and take routine handling off people who have better things to do.

3. Plants facing volume, variability and space limits at the same time

Collaborative robotics was born in this kind of environment, where smaller and mid-sized manufacturers historically struggled to start automating: rising cost of traditional solutions, rigidity of conventional robotics, and no advanced robotics expertise in-house.

Unlike most traditional automation, collaborative systems can be introduced into environments that were never designed from scratch, where layouts evolved over time, and where the goal is not to build a closed cell but to add efficiency without adding rigidity.

That fits European manufacturing closely. Advanced but not uniform plants, high-mix production, constant adaptation, medium-to-small operating scale.

Case study: Pallet handling at Vibo's Trissino plant

Vibo designs and manufactures accessories and technical furnishing solutions — pull-out systems, drawers, under-sink and waste separation solutions, bedroom accessories. Founded in 1980 by Luisa Nardi and Franco Bonin, it supplies nearly all Italian furniture manufacturers, exports 75% of its output and serves customers in more than 70 countries.

It is also a plant with a long automation history rather than a first-time buyer: an anthropomorphic robot in 2000, MES in 2007, and more recently two Universal Robots UR20 cobots used for palletizing. Growth came partly through bringing strategic processes in-house — wood processing, sheet metal, molding, turning, robotics — which produced an integrated production system where flow efficiency and interdepartmental coordination matter more than any single station's output.

The constraint

Intralogistics and material handling had become a bottleneck in that system. Two conditions narrowed the options.

First, the Trissino plant is an open environment, and Vibo was not willing to segregate production areas or install safety barriers to accommodate automation. Second, the existing fleet of operator-driven electric forklifts had charging cycles that left parts of the production shift without coverage — a hard ceiling on continuity, and on any plan to add a third shift.

What was implemented

In 2025, after evaluating several suppliers, Vibo selected the MiR1200 Pallet Jack, an AMR rated to 1,200 kg and designed for autonomous 24/7 operation. The robot runs complete intralogistics cycles: full pallets to the storage area, empty pallets back to the assembly bays, picking stacked pallets from a racking area.

Three technical points mattered to whether it would work in this specific plant:

• Pallet recognition across formats. An AI-based perception system identifies both standard and shrink-wrapped pallets, and picks the required one from four formats in daily use, from 80×120 EUR to 100×120 EPAL, without pallet separators.

• Charging that doesn't create the original problem again. A high-capacity battery with opportunity charging, plus a top speed of 1.5 m/s, is what makes continuous coverage possible rather than trading one charging gap for another.

• A tiller for manual driving. Used during commissioning to register pick-up and drop-off points, and a significant factor in adoption by operators used to conventional trucks.

The unit's structure was developed with Logitrans, which brings more than 80 years in lifting equipment. Programming was optimized with MiR's service team and distributor Me.Ko. — relevant context for anyone assessing integration risk, since Vibo selected a machine it knew was new and planned for adaptation work rather than assuming plug-and-play.

What changed

Productivity increased, driven by the robot's operating autonomy and battery performance, and logistics mission cycle times came down. Flexibility improved through handling multiple pallet formats in the same flow. The open, unfenced layout was preserved, with no safety barrier investment.

Operator response is worth noting because it usually isn't smooth. There was hesitation in the first months, and according to plant management <cite index="2-1">it only took a few weeks to win their trust</cite>. Operators now call the AMR "Mir…acle." Broader research points the same direction: a Teradyne Robotics study across Italy and five other countries found more than 83% of workers view collaborative robotics as an opportunity.

The reason the Vibo case is worth citing isn't the technology. It's that a plant already running cobots for palletizing identified that its remaining constraint was transport, not task execution — and automated accordingly. Cobots on the task, an AMR on the flow, in the same building.

Five collaborative logistics use cases worth watching

1. End-of-line palletizing and depalletizing — strongest where flows are continuous but the product mix changes often.

2. Packing and order preparation — increasingly relevant for companies with e-commerce channels or highly fragmented shipping profiles.

3. Line feeding and assembly bay replenishment — the value sits in punctuality and continuity of the flow, not in the individual mission.

4. Handling of full and empty pallets — routinely underestimated, and central to avoiding congestion and downtime. At Vibo, returning empties to the assembly bays is half the cycle.

5. Integration between machine automation and internal logistics — the cobot stops working in isolation and becomes the connection between a machine, a workstation and the material handling system.

Across these, collaborative robotics performs well in handling, end-of-line, packaging, palletizing and machine tending, where flow continuity meets task precision. The compact footprint of cobots also means they can be moved between areas, which helps when production flow shifts seasonally or unexpectedly and a strained area needs reinforcing.

How to scope an internal logistics automation project

A sound project starts with diagnosis, not with a shortlist of robots. Five questions to answer before any vendor conversation:

1. Where do waiting times build up? Follow the material, not the machines. At Vibo the answer was forklift charging windows, which is not where anyone looks first.

2. Which internal missions are repetitive but not value-adding? These are the candidates for AMRs.

3. Where is time lost between one stage and the next? The handover points, not the stations.

4. Which activities absorb people without generating proportionate value? Manual transport usually leads this list.

5. Where does product or layout variability make rigid automation ineffective? Four pallet formats in daily use is the kind of variability that rules out fixed handling and rules in perception-based automation.

Then assess the process, not just the task. Industrial literature and the know-how of capable system integrators converge on the same point: analyse candidate processes, understand where automation can realistically be integrated, and weigh the market, the product and the wider production context alongside the operation itself.

Those questions are what separate a well-founded investment from a purchase driven by enthusiasm for the technology.

Common mistakes in logistics automation projects

Automating the task and ignoring the flow. A faster palletizer feeding a transport process that still depends on manual handling moves the bottleneck rather than removing it.

Treating AMRs as forklift replacements. Framed that way, the business case reduces to a vehicle comparison and misses the actual return, which is flow stability and shift coverage.

Starting from the technology. Selecting a platform before analysing the process is how plants end up with capable equipment installed at the wrong point.

Underestimating empty returns and buffers. Congestion usually comes from what is being sent back, not what is being sent forward.

Assuming the layout has to change. Collaborative systems are designed for shared, unfenced, already-evolved environments. Redesigning around them removes much of the reason to choose them.

Budgeting for hardware but not for adaptation. Commissioning work, mission programming and distributor support are part of the project, not an overrun.

FAQ

What is the difference between a cobot and an AMR in logistics? A cobot is a collaborative robot arm that automates a task at a fixed point, such as palletizing or packing. An AMR is an autonomous mobile robot that automates transport between points, such as moving pallets to a line. Cobots handle the task, AMRs handle the flow.

Where does internal logistics automation deliver the fastest return? Usually at end-of-line operations and line feeding, where repetitive handling and waiting times concentrate. Plants with high product variability and limited space often see the clearest gains, because rigid automation struggles in those conditions and manual transport absorbs disproportionate labour.

Can AMRs work without changing the factory layout? Yes. AMRs operate in open, shared environments without fencing or layout changes, navigating alongside people and existing traffic. Vibo's Trissino plant added autonomous pallet transport with no safety barriers and no segregation of production areas.

Can an autonomous pallet jack handle more than one pallet format? Yes. The MiR1200 Pallet Jack uses AI-based perception to recognize standard and shrink-wrapped pallets, and handles four formats in daily use at Vibo, from 80×120 EUR to 100×120 EPAL, without pallet separators.

How do operators respond to AMRs on the shop floor? Initial hesitation is normal and usually short-lived. At Vibo, operator trust took a few weeks. A Teradyne Robotics study across six countries found more than 83% of workers view collaborative robotics as an opportunity rather than a threat.

Where to start

Different organizations prioritize these use cases differently. Some get the fastest gains by targeting ergonomically demanding tasks. Others go after the areas where congestion or variability destabilizes the flow. For many, the driver is simply service continuity: keeping material moving reliably across shifts.

The starting point matters less than the fit. What determines the outcome is how closely the project aligns with the company's own constraints, workflows and performance targets.