Robot-X Data Space

Data ecosystem Description

The Robot-X Data Space connects robotic asset providers, component developers, solution builders, solution installers, and end customers to efficiently exchange data among each other. It ensures secure and reliable data transfer to allow:

- Collaborative Engineering: Exchange of standardized engineering data allowing automized provision and processing, and thus, speeding up development phases from requirements engineering over joint conceptualizing and designing up to virtual commissioning.

- Digital Services: Support of robotic operations with remote services to optimize or extend robotic behavior, such as anomaly detection, retraining of AI algorithms, software upgrades, or predictive maintenance.

Industry:

Aerospace & Defense, Automated Manufacturing, Automotive, Electronics & Electrical, Machinery & Equipment, Shipbuilding

Region:

DACH

Autonomous Operation as a Service

Challenge:
- Seek assistance to optimize, maintain, repair, or extend your robotic system.

Goal:
- Providing an interface to remotely connect to your robotic system in order to check the state, provide updates, or control it.

Solution Approach:
- User controls who and when remote access is possible.
- Secure connection to avoid access of third parties.
- Reliable and fast connection for large data transfer.

Benefit for user:
- Quick response and minimal down time
- Quick add-on of functionality

Integrated Toolchains and Collaborative Engineering

Challenge
- Need for improved engineering collaboration for seamlessly integrated and interoperable engineering tool chains.

Goal:
- Standardized engineering tool integration & solutions for engineering automation

Solution approach:
- Data continuity in the whole supply chain based on standards
- Data continuity in the customer- supplier-relationship based on standards
- Seamless integration of data in ERP, PLM, CAx, and simulation models for virtual commissioning

Benefit for user:
- Increase productivity by automated data exchanges
- Increase output by shorter engineering times

Services

Requirements
Problem space description on form of requirements.

Concept Development

Turning requirements into feasible system models.

Services

Requirements
Problem space description on form of requirements.

Predictive Maintenance

Analyze robot data to estimate performance degradation and to eventually react on it.

Model Generation

Provide control or simulation model from CAD data.

Remote Control

Controlling a robotic system from remote.
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