Infrastructure for humanoid robots: simulation before purchase as the key to fast integration

Starting point: the challenge of integrating robots

The use of humanoid robots and service robots is gaining momentum worldwide. Whether in production halls, warehouse centres, hotels, clinics or, in particular, in care, demand is growing. But before companies and private individuals invest in hardware, fundamental questions arise:

• Are my processes and spatial conditions even suitable for robots?
• What costs and time are involved in integration?
• How can risks to safety, data protection and critical infrastructure be minimised?

Without preparatory analyses, uncertainties arise: bad investments, integration delays and, in the worst case, the cancellation of projects.

So before a robot is physically purchased, its deployment should be checked in a realistic simulation. This allows use cases to be planned precisely, technical risks to be identified and the later commissioning to be significantly shortened.

1. Digital twins serve as the starting point

Reality-capture technologies form the basis of this new infrastructure. They capture real spaces to within a millimetre and generate digital replicas from them that serve as test environments for humanoid robots. In these virtual environments, motion sequences, gripping operations, walking routes and interactions can be simulated precisely. The digital twin replaces the laborious trial-and-error procedure in real space.

2. Planning with calculable risk

Companies can run through various deployment scenarios without a robot already being on site. Movements, ranges, energy requirements and safety distances are tested virtually. This makes it visible whether the planned robot can really fulfil its tasks in the existing environment. Only once the simulation has been successfully completed do the physical purchase and direct implementation take place.

In addition to companies, private individuals in particular can also benefit from the use of humanoid robots in home care. In Germany, around three quarters of all care services take place at home, mostly provided by relatives who are heavily burdened both physically and emotionally. At the same time, the care crisis is worsening due to a shortage of skilled staff and an ageing population.

Humanoid robots will provide targeted relief here. They support with physically demanding or time-consuming tasks. With modern sensor technology, speech recognition and learning-capable systems, they can monitor vital data, detect emergencies and report them to carers or relatives.

In addition, they promote well-being through reminders, movement guidance or simple conversations. Their use closes the growing care gap, supports caring families and strengthens home care as the most important pillar of the German care system.

3. Shortened commissioning

Since the humanoid robot has already been fully configured in the digital twin, it can start after delivery without lengthy calibration or adjustment processes. The entire workflow, from scanning the environment to real-world commissioning, takes place on the basis of the previously validated simulation data. This saves time, reduces costs and increases operational reliability.

4. Components of the necessary infrastructure

Reality-capture systems for precise environment capture

Cloud-based platforms for simulation and scenario management

Standardised data formats for compatibility between software and robotics systems

Data-fusion platforms for integrating sensor, image and motion data

Interfaces for the direct transfer of simulation results to the real robot

5. Data security as a core prerequisite

As humanoid robots become increasingly connected, the risk of unauthorised access to control and sensor data also grows. Data security is therefore not an add-on but an integral part of the infrastructure.

A secure architecture includes:

Segmented networks for simulation, control and operation, to separate data flows clearly.

End-to-end encryption of all communication channels between the digital twin, cloud and robot.

Zero-trust models that authenticate and authorise every interaction.

Compliance with European security standards such as NIS2 and the Cyber Resilience Act, to implement both technical and organisational security measures.

Regular penetration tests and risk analyses to detect vulnerabilities early.

This ensures that humanoid robots do not become a gateway for cyberattacks, but rather a trustworthy part of secure digital ecosystems.

6. Economic benefit

Virtual test operation prevents bad investments. Companies no longer buy from a brochure, but on the basis of verified feasibility. At the same time, the time from the purchase decision to productive use is considerably shortened. The simulation creates transparency about performance, depth of integration and efficiency potential.

7. Outlook

The future of humanoid robotics lies in intelligent preparation. Digital twins, reality capture, standardised simulation platforms and a robust security concept form the infrastructure that makes humanoid robots plannable, safe and economically integrable.

Simulation before purchase replaces uncertainty with data and at the same time protects the integrity of the systems against external attacks. Every investment thus becomes a well-founded and future-proof decision.