Robotics applied to logistics automation: new frontiers for smarter, more flexible and more efficient warehouses

In recent years, industrial automation has experienced an unprecedented surge. It is no longer simply a matter of replacing manual labour with robotic arms, but of designing intelligent ecosystems in which robots, software and people work together to make warehouses and production lines more efficient, flexible and safe.

In this context, warehouse robots are playing an increasingly important role. From materials handling to order preparation, and from palletising to picking, robotic applications make it possible to automate repetitive tasks and support operators in the most complex stages of the logistics process.

In this article, we analyse three of the most significant applications in the current landscape: robotic cells for palletising and depalletising, collaborative robots (cobots) designed for picking parcels and items — including the new frontier of humanoid robots — and layer-by-layer picking technologies.

1. Robotic cells: palletising and depalletising

Robotic cells are now one of the most mature and widely used solutions for automating the handling of products at the end of the production line or on entry into the warehouse.

A palletising station is an integrated cell in which an anthropomorphic (or Cartesian) robot picks up boxes, sacks or crates from the production line and arranges them on pallets according to predefined patterns, optimising space, load stability and compatibility with downstream transport systems. Depalletising carries out the reverse process: the robot picks up products from an incoming pallet to feed production lines or automated storage systems.

The main advantages of these solutions are:

• Reduction in physical fatigue and injuries associated with the manual handling of heavy and repetitive loads
• Increased productivity, thanks to continuous and predictable work cycles
• Configuration flexibility, with the ability to manage multiple product codes and palletising patterns through simple software reprogramming
• Integration with machine vision systems, which enable the recognition of product shapes, orientations and anomalies in real time

Robotic islands are particularly well suited to sectors with high volumes and standardised products, such as the food, beverage, chemical and pharmaceutical industries, but are also becoming increasingly common in settings with a variable production mix, thanks to multi-reference robotic arms.

2. Collaborative robots: picking parcels and parts, and the new generation of humanoid robots

Whilst robotic cells typically operate in segregated areas, collaborative robots (cobots) are designed to work in close proximity to human operators, without the traditional safety barriers, thanks to force sensors, vision systems and proximity detection systems.

Package and item picking

In unit picking (cartons, boxes, crates), the cobot picks up entire packaging units to assemble orders or feed packaging lines. In piece picking, the challenge is more complex: the robot must identify, grasp and handle individual items, which often vary greatly in shape, weight and material.

This type of automation requires advanced technologies in the following areas:

• 2D/3D vision and artificial intelligence for the recognition of products, including those not sorted (bin picking)
• Adaptive gripping systems (vacuum grippers, mechanical grippers, hybrid solutions) capable of handling a wide variety of items
• Path planning algorithms to optimise movements and cycle times

Cobots are particularly well-suited to e-commerce and omnichannel logistics, where order variability is high and a system capable of adapting quickly is required.

The Frontier of Humanoids

An even more recent development concerns humanoid robots, designed to move and operate in environments intended for humans, without requiring structural alterations to workspaces. Thanks to legs or mobile platforms, arms with multiple degrees of freedom and the ability to perform fine manipulation, humanoids are designed to carry out complex, non-repetitive tasks: moving between different workstations, handling tools designed for human operators, and carrying out picking operations in unstructured environments.

This technology is still in the process of being gradually adopted, but it promises to significantly broaden the scope of application of collaborative robotics, particularly where reconfiguring production lines is not economically viable.

3. Multi-tier picking: speed and efficiency on a large scale

When logistics operations involve handling large volumes with repetitive pallet configurations, layer picking is one of the most efficient solutions.

Unlike single-item picking, in this case the robot picks up and moves an entire layer of products that have already been arranged in an orderly configuration (for example, a layer of boxes on a pallet), using comb grippers, sliding plates or dedicated vacuum systems.

The main benefits are:

• Very high throughput, as a single robot movement is equivalent to dozens of individual picks
• Reduced mechanical wear, thanks to less frequent operating cycles compared with piece-by-piece picking
• Optimisation of mixed pallet preparation times, particularly useful when preparing orders for large-scale retail chains (GDO)

Layer picking is often integrated with automated storage and retrieval systems (AS/RS) and WMS/WCS software, ensuring a seamless flow between storage, picking and dispatch.

Warehouse robots: towards integrated and scalable automation

The evolution of warehouse robots is not just about the introduction of individual machines, but about the possibility of developing increasingly integrated robotic automation systems, in which robots, software and material-handling technologies work in a coordinated manner.

Robotics, handling systems and software can work together to coordinate the various stages of the logistics process and improve the flow of goods.

True evolution therefore lies in the integration of these technologies with the systems already in place in the warehouse, with the aim of building a flexible and scalable ecosystem capable of adapting to the company’s operational needs.

To find out more about technologies and solutions designed for automated flow management, please take a look at Errevi Automation’s logistics automation solutions.

Which robotic solution should you choose for your warehouse?

There is no single robotic technology that is suitable for every logistics process without exception.

The choice depends on a number of factors, including:

• the type and dimensions of the goods handled;
• order volumes and frequency;
• layout features;
• tasks to be automated;
• the need for future scalability;
• integration with existing software and systems.

A preliminary analysis of processes enables you to identify where robotics can generate the greatest value and which technology best meets the actual operational needs of your warehouse.

Conclusion

Robotics is playing an increasingly important role in the evolution of logistics automation.

From robotic palletising to collaborative robots, from automated picking to the new generations of humanoid robots, the technologies available enable intervention at different stages of warehouse processes.

The aim is not simply to introduce robots to automate a task, but to design solutions in which technology, software and people can work together in a coordinated manner.

For this reason, the selection of warehouse robots must begin with an analysis of the company’s processes, volumes and objectives, so as to build systems that are truly efficient, flexible and scalable.

Would you like to find out which robotic solution would best integrate into your warehouse processes?

Contact Errevi Automation to assess your operational requirements and identify the most suitable automation solution.

FAQs on warehouse robots

What are warehouse robots?

Warehouse robots are robotic systems used to automate or assist with tasks such as material handling, order picking, palletising, depalletising and the management of logistics flows.

Which tasks can be automated using robotics in a warehouse?

Robotics can be applied to a range of tasks, including order picking, product handling, palletising and depalletising. The most suitable solution depends on the products, volumes and the configuration of the logistics process.

What is the difference between industrial robots and collaborative robots?

Industrial robots are generally used to automate structured and repetitive tasks, whilst collaborative robots are designed to operate in environments where there is greater interaction with operators, whilst complying with the safety requirements of the application.

What is robotic palletising used for?

Robotic palletising automates the placement of packages or products onto pallets according to defined configurations, helping to improve the continuity, accuracy and efficiency of the process.

How do you choose a warehouse robot?

The decision must take into account the type of products, volumes, layout, operations to be automated, existing software and systems, and future scalability requirements. For this reason, it is advisable to begin with an analysis of the logistics process before selecting the technology.