Reconfigurable robots for future manufacturing

ASPIRO

Illustration, symbol image, AI-generated
Human-robot collaboration in manufacturing - a possible future scenario
Credit:

AI-generated with https://deepai.org/

Reconfigurable robots for future manufacturing

The Aerospace Production Using Intelligent Robotic Systems (ASPIRO) project is breaking new ground in aerospace and transport by introducing flexible, robust and sustainable automation using artificial intelligence.

The aerospace industry currently relies on conventional industrial robots for production. This has an impact on production capacity, as many critical tasks are performed manually or through costly and complex automation. Companies producing small batches or highly customised products also face the challenge of finding suitable technical solutions. Many traditional approaches and solutions are application-specific and do not offer the flexibility required. Automation solutions also increase productivity in logistics and maintenance of (automated) vehicles, as well as in raw material recycling, and alleviate the shortage of skilled labour.

The ASPIRO project aims to develop advanced robotic systems with cognitive capabilities using state-of-the-art digitalisation and AI technologies. With AI-based capabilities, robots will be able to perceive their environment and plan tasks more efficiently, as well as adapt to new or changing requirements by dynamically reconfiguring hardware and software components. ASPIRO thus helps to overcome the current limitations of automation in the transport and aerospace industries and enables a human-centred and sustainable process chain.

Contribution of the Institute for AI Safety and Security

Our mission is to implement an AI-driven infrastructure for the development and use of robots. Automation and safety throughout the entire development and deployment cycle is a high priority, especially in collaboration with human colleagues. We are also responsible for the development of robust and verifiable AI algorithms for use on reconfigurable robots. The practical implementation and validation of these methods will be carried out as part of a semi-automated depot concept for the maintenance, repair and recycling of road vehicles.

Participating DLR institutes and facilities

Contact

Dr. Hans-Martin Rieser

Head of Department
German Aerospace Center (DLR)
Institute for AI Safety and Security
Execution Environments & Innovative Computing Methods
Wilhelm-Runge-Straße 10, 89081 Ulm
Germany

Karoline Bischof

Consultant Public Relations
German Aerospace Center (DLR)
Institute for AI Safety and Security
Business Development and Strategy
Rathausallee 12, 53757 Sankt Augustin
Germany