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Fachbereich Informatik

mitrevski_web.png (DE)

Dr. Alex Mitrevski

Lehrkraft für besondere Aufgaben / Institut für KI und Autonome Systeme (A2S)


Fachbereich Informatik, Institut für KI und Autonome Systeme (A2S)


Sankt Augustin




Grantham-Allee 20

53757, Sankt Augustin


+492241 865206



  • Knowledge representation and reasoning (knowledge retrieval, forgetting mechanisms, template- and case-based reasoning)
  • Lifelong robot learning
  • Simulation-based robot learning and reasoning
  • Robot fault detection and diagnosis
  • Cognitive robotics



  • Robot Learning (WS23)
  • Cognitive Robotics (SS23)
  • Autonomous Mobile Robots (WS23)
  • Software Engineering for Robotics (WS23)
  • Research and Development Colloquium (WS19, zusammen mit Argentina Ortega in SS18)
  • Fault Detection and Diagnosis (SS19)


  • Mathematics for Robotics and Control (SS21, WS20, SS20, WS19, WS18, SS18, WS17, zusammen mit Santosh Thoduka in SS17)
  • Software Development Project  - project coach (WS22, SS22, SS21, WS20, SS20)
  • Scientific Experimentation and Evaluation (WS18, SS18, WS17, zusammen mit Santosh Thoduka in SS17)

Betreute Masterarbeiten

  • Visuomotor policy learning for predictive manipulation
  • Multimodal deep learning-based adaptation of robot behaviour for assistive robotics
  • Experience-based path planning framework for real-time learning from demonstration
  • Robust environment sound classification and anomaly detection using deep learning
  • Towards improvements on RoboCup@Home robots architecture, capabilities and development process
  • Lifelong action learning for socially assistive robots

Betreute R&D-Projekte

  • Incorporating contextual knowledge into human-robot collaborative task execution
  • Learning corrective models for multistep actions by analysing videos
  • Integrating anomaly detection with fault diagnosis for long-horizon tasks
  • Registering and visualizing point cloud data with existing 3D CityGML Models
  • A comparative analysis of fault detection approaches in mobile robots
  • Benchmarking object placement algorithms for mobile robotic manipulators
  • Tell your robot what to do: Evaluation of natural language models for robot command processing
  • Safe and fault-aware child-robot natural language interaction
  • Manipulating handles in domestic environments
  • Learning grasp evaluation models using synthetic 3D object-grasp representations
  • Dynamic motion primitives
  • Ontology-based robot fault diagnosis
  • Learning human gestures by imitation for robots
  • Development and implementation of a self-learning control approach for contact-rich object manipulation
  • Automated test generation for robot self-examination
  • Explainability analysis for skill execution
  • Learning efficient knife handling skills in semi-structured environments on a dual-arm robot
  • Personalised behaviour models for child-robot interaction
  • Semantic information by acoustic clues: A modern approach to anomaly detection for robotics



Das Ziel des Projekts MigrAVE ist die Entwicklung von Technologien, die Kindern mit Autismus-Spektrum-Störungen (ASS) in alltäglichen Situationen unterstützen. ASS führt bei den Betroffenen zu verschiedenen sozialen und verhaltensbezogenen Herausforderungen; Menschen mit Autismus haben zum Beispiel Schwierigkeiten beim Erkennen von Emotionen oder verhalten sich in Alltagssituationen unangemessen, ohne dies wahrzunehmen.

Projektleitung an der H-BRS

Professor im Ruhestand / retired professor Dr. Paul G. Plöger

Objectives Develop and implement a disruptive concept for automatically guided vehicles (AGVs) that lowers the still existing barrier in logistics by offering • cost-effective, automated or semi-automated indoor transportation of goods, • while coping with existing legacy in terms of size, shape, and weight of goods and containers, • without imposing disruptive changes in existing logistic solutions, such as rebuilding entire warehouses or switching to new containers or storage technology.

Projektleitung an der H-BRS

Prof. Dr. Erwin Prassler