Fachbereich Informatik

mitrevski_web.png (DE)

Dr. Alex Mitrevski

Research Associate b-it / Institute for AI and Autonomous Systems (A2S) and MigrAVE, Team Leader b-it-bots@Home

aleksandar.mitrevski@h-brs.de

Gliederung

Dr. Alex Mitrevski, Dr. Alex Mitrevski

Standort

Sankt Augustin

Raum

C201

Adresse

Grantham-Allee 20

53757, Sankt Augustin

Telefon

+49 2241 865 206

Profil

Research interests

* 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

Co-supervised master's theses (MAS)

* Lifelong action learning for socially assistive robots
* Visuomotor policy learning for predictive manipulation
* Robust environment sound classification and anomaly detection using deep learning
* Towards improvements on RoboCup@Home robots architecture, capabilities and development process

Co-supervised R&D projects (2020-2023)

* Integrating Anomaly Detection with Fault Diagnosis for Long-Horizon Tasks
* Safe and Fault-aware Child-Robot Natural Language Interaction
* Development and implementation of a self-learning control approach for contact-rich object manipulation
* Personalised behaviour models for child-robot interaction
* Learning human gestures by imitation for robots
* Automated test generation for robot self-examination
* Benchmarking object placement algorithms for mobile robotic manipulators
* Registering and visualizing point cloud data with existing 3D CityGML Models

Co-supervised R&D projects (2017-2019)

* Incorporating contextual knowledge into human-robot collaborative task execution
* Ontology-based robot fault diagnosis
* Manipulating handles in domestic environments
* Dynamic motion primitives
* Learning grasp evaluation models using synthetic 3D object-grasp representations
* Evaluation of natural language models for robot command processing
* Learning corrective models for multistep actions by analysing videos
* A comparative analysis of fault detection approaches in mobile robots
* Semantic information by acoustic clues: A modern approach to anomaly detection for robotics

Teaching

  • SS 2022
    • Project coach Software Development Project
  • SS 2021
    • TA Mathematics for Robotics and Control
    • Project coach Software Development Project
  • WS 2020
    • TA Mathematics for Robotics and Control
    • Project coach Software Development Project
  • SS 2020
    • TA Mathematics for Robotics and Control
    • Project coach Software Development Project
  • WS 2019
    • Lecturer Research and Development Colloquium
    • TA Mathematics for Robotics and Control
  • SS 2019
    • Lecturer Fault Detection and Diagnosis
  • WS 2018
    • TA Mathematics for Robotics and Control
    • TA Scientific Experimentation and Evaluation
  • SS 2018
    • Lecturer Research and Development Colloquium (together with Argentina Ortega)
    • TA Mathematics for Robotics and Control
    • TA Scientific Experimentation and Evaluation
  • WS 2017/18
    • TA Mathematics for Robotics and Control
    • TA Scientific Experimentation and Evaluation
  • SS 2017
    • TA Probabilistic Methods for Robotics
    • TA Mathematics for Robotics and Control (together with Santosh Thoduka)
    • TA Scientific Experimentation and Evaluation (together with Santosh Thoduka)

Mitgliedschaften

Auszeichnungen

IROS 2020 best paper award on cognitive robotics

Publikationen

List of publications

Links

Further links

HBRS calendar
Personal website