Collaborative robots: a service model built around safety and flexibility
The service reality behind the cobot promise
Collaborative robots are often sold on the promise of easy integration and safe human-robot collaboration. But the after-sales reality is more demanding than the marketing suggests. Unlike traditional industrial robots, which live behind fences and follow a predictable maintenance schedule, cobots are deployed in open, changing environments. Their service model must therefore be built around two pillars: rigorous safety system maintenance and the management of end-effector wear. And because cobots are frequently redeployed to new tasks, the service model must be as flexible as the robots themselves.
Safety system maintenance: not just a checkbox
The safety of a collaborative robot is not a static feature; it is a system that must be maintained and verified. Under Regulation (EU) 2023/1230, collaborative robots must meet essential health and safety requirements, including the ability to operate safely in a shared workspace. This regulation, which applies from January 2027, updates the Machinery Directive and places greater emphasis on the safety of collaborative applications.
For service providers, this means that safety system maintenance is a core task. It involves regular checks of the robot’s force and torque limiting functions, the verification of safety-rated monitored stops, and the testing of hand-guiding modes. These checks are not one-off events; they must be performed at intervals defined by the risk assessment and the manufacturer’s instructions. In practice, this means that a service visit to a cobot installation is often as much about safety validation as it is about fixing a mechanical issue.
Moreover, the safety of a cobot application depends not only on the robot itself but also on the peripherals: the gripper, the tooling, the workpiece, and the environment. A worn gripper can change the robot’s dynamic behavior, potentially affecting the safety functions. Therefore, safety maintenance must include an assessment of the entire application, not just the robot arm.
Gripper and end-effector wear: the hidden cost
End-effectors are the most exposed parts of a collaborative robot. They are in constant contact with the environment, and they experience wear that can affect both performance and safety. For example, a pneumatic gripper’s rubber pads may lose grip over time, leading to dropped parts or misalignment. A vacuum gripper’s suction cups can degrade, reducing holding force. These issues are not just a matter of quality; they can also create safety risks if a part falls or if the robot’s motion is altered.
Service models for cobots must therefore include regular inspection and replacement of end-effectors. This is a consumable cost that is often underestimated by buyers. Unlike industrial robots, where the tool is often a dedicated, heavy-duty device, cobot end-effectors are frequently lightweight and designed for quick changeovers. This makes them easier to replace, but also more prone to wear.
In practice, a service contract for a cobot should specify the expected lifetime of each end-effector component and include a replacement schedule. For example, a gripper pad might need replacement every 500,000 cycles, while a suction cup might last for 200,000 cycles. These numbers vary by application, but the point is that service planning must account for them.
Flexible deployment: the service challenge
One of the key selling points of cobots is their flexibility: they can be reprogrammed and redeployed to different tasks, sometimes even by the end user. But this flexibility has a direct impact on the service model. When a cobot is moved to a new task, the safety system must be revalidated, the end-effector may need to be changed, and the programming may require updates. This means that service is not a one-time installation event; it is an ongoing relationship.
For service providers, this creates both a challenge and an opportunity. The challenge is that each deployment is unique, and the service team must be able to adapt quickly. The opportunity is that each redeployment is a chance to add value, whether through safety validation, training, or parts replacement.
In Europe, where regulations and languages vary by country, the service model must also be localized. A cobot installed in Germany may have different documentation requirements than one in Spain. A service network that can handle these variations is essential.
Comparison: cobot vs industrial robot service
| Aspect | Collaborative robot | Industrial robot |
|---|---|---|
| Safety system | Integrated, force-limited, must be verified in each new deployment | Fenced, isolated, safety system is static and rarely changed |
| End-effector wear | High wear due to frequent changeovers and light-duty design | Lower wear, but replacement is more complex and costly |
| Deployment | Frequently redeployed, often by end users | Fixed installation, rarely moved |
| Service frequency | Regular safety checks and end-effector replacement | Planned maintenance, often less frequent |
| Service skills | Need to understand safety regulations and flexible programming | Focus on mechanical and electrical repair |
| Spare parts | Lightweight, modular, often off-the-shelf | Heavy-duty, often custom, longer lead times |
Building a service model for cobots
Given these characteristics, a service model for collaborative robots should be built around three principles: proactive safety management, consumable management, and flexible response.
Proactive safety management
Service contracts should include scheduled safety inspections, not just reactive repairs. These inspections should follow the guidelines of Regulation (EU) 2023/1230 and the manufacturer’s recommendations. They should also be documented, as this documentation may be required for compliance.
Consumable management
End-effector wear should be tracked, and replacement parts should be stocked. A service provider can offer a subscription model where consumables are automatically shipped at intervals based on usage data. This reduces downtime and ensures that safety is not compromised by worn parts.
Flexible response
Because cobots are often deployed in small and medium-sized enterprises, the service provider must be able to respond quickly. This means having a network of certified technicians who can travel to the site, or offering remote diagnostics and support. The service model should also include training for end users, so they can perform basic maintenance and reprogramming themselves.
The role of a local service network
In Europe, the cobot market is growing, and with it the demand for after-sales services. According to IDC, the robotics market is expanding, and collaborative robots are a significant segment. However, many Chinese manufacturers entering the European market lack a local service infrastructure. This is where a local service network being set up, such as the one Robanchor is assembling, can play a crucial role. By providing certified technicians who understand both the robots and the European regulations, such a network can help manufacturers build trust with European customers.
It is important to note that Robanchor is not yet a registered entity, but the concept is to create a network of certified technicians who can offer maintenance, spare parts, and compliance support. This model is particularly suited to cobots, because their service needs are more frequent and more varied than those of traditional industrial robots.
Conclusion
The service model for collaborative robots is not a scaled-down version of industrial robot service. It is a different beast, shaped by safety regulations, end-effector wear, and flexible deployment. Manufacturers and service providers that recognize this will be better positioned to succeed in the European market. The key is to treat service as an integral part of the product, not an afterthought.
Sources
- EUR-Lex — Regulation (EU) 2023/1230 — https://eur-lex.europa.eu/eli/reg/2023/1230/oj (accessed 2026-04-23)
- IDC — Robotics market — https://www.idc.com/ (accessed 2026-04-23)