AI-enabled robotics for productivity in high-wage economies

Trend study exploring Next-Gen Robotics in industrial production

Robots are an essential part of manufacturing sites in high-wage countries. Today’s robots are well suited for tasks such as spot welding, painting or precision manufacturing, but reamain limited in flexibility, dexterity and mobility in unstructured environments.

At the same time labor shortages and cost pressures demand new automation approaches. Advancements in AI, vision systems and sensor technology now enable a new generation of more intelligent, versatile and autonomous robots for complex industrial environments.

The key question is no longer if these technologies will be adopted, but how quickly and effectively companies can benefit from them.

To identify opportunities for manufacturing companies, the Fraunhofer IPT is forming a consortium to conduct a trend study aimed at making future technological and market developments tangible.

Why participate?

  • Scientific analysis of the latest developments in Next-Gen Robotics
  • Individual transfer of research results to your company
  • Discussion of current topics with robotics experts in interactive sessions
  • Pre-competitive exchange in a trusted community

About the Study

What are the Key Questions ?

  • What are drivers, KPIs, bottlenecks and R&D tasks to be solved?​
  • Which industrial applications could be considered and when will they be ready for the market?​
  • What opportunities and positioning options exist in the value chain?​

Who should participate?

  • Manufacturing companies exploring robotics applications
  • Experts and managers from production, innovation, and strategy who want to identify concrete application opportunities and develop them further at an operational level

What is the process of the study within the consortium?

  • Planned start: Q3 2026
  • Duration: 6 months
  • Number of participants: up to 10 companies
  • Semi-structured interview study with selected robotics experts
  • Roadmapping and/or application-specific scenario development as a basis for deriving individual measures
  • Time commitment: Minimal, primarily in connection with participation in consortium meetings