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Research Laboratory on Engineering & Management Intelligence

The main research activities focus on the research, development and extension of cyber-physical production systems. A strategic goal is to digitalize industry, sustainability efforts, the energy sector, and healthcare.

Competences

Cyber-Physical Production Systems

Integration of computing and physical processes in manufacturing and logistics.

Mathematical Optimization and Statistical Machine Learning

Researching and applying mathematical techniques to optimise and learn from data.

Autonomous Robotics

Design and control of robots for independent operation in dynamic environments.

Key Staff

About

Our main field of activity is the research of cyber-physical manufacturing and logistics systems, with a focus on the real-time operation of technical and economic systems in dynamic and uncertainty-prone environments. Our aim is to enhance industrial efficiency and address the challenges posed by the circular economy, artificial intelligence, and advanced robotics.

A key strategic objective of the laboratory is to contribute to the digital transformation of industry, sustainability efforts, the energy sector, and healthcare through applied research and innovation.

Core Areas of Expertise

  • Human-centered manufacturing automation
  • Collaborative robotics solutions, applicable even at the SME level
  • Stochastic machine learning methods
  • Robust, resource- and energy-efficient production planning and scheduling
  • Cooperative and adaptive production and logistics networks
  • Cyber-physical production systems
  • Circular economy technologies
  • Industrial applications of artificial intelligence, including generative AI
  • Advanced robotics solutions
  • Scientific demonstrations and industrial collaborations: The laboratory engages in scientific demonstrations and industry collaborations, managing projects from problem formulation to final implementation and delivery

Contact us

We welcome your inquiries regarding professional collaborations, research and development projects, industrial and academic partnerships, or other relevant matters. Please do not hesitate to contact us.

Address
1111 Budapest, Kende u. 13-17.
Phone
+36 1 279 6121