Fachbereich Informatik
Dr. Alex Mitrevski
Lehrkraft für besondere Aufgaben / Institut für KI und Autonome Systeme (A2S)
Gliederung
Fachbereich Informatik, Institut für KI und Autonome Systeme (A2S)
Standort
Sankt Augustin
Raum
C203
Adresse
Grantham-Allee 20
53757, Sankt Augustin
Telefon
+492241 865206Profil
Forschungsgebiete
- 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
Lehre
Lehrbeauftragter
- 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)
TA
- 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
Mitgliedschaften
Forschungsprojekte
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. PlögerObjectives 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 PrasslerPublikationen