Alex Mitrevski
Doktorand, Wissenschaftlicher Mitarbeiter, Team Leader b-it-bots@Home
Forschungsgebiet
Autonomous Systems
Promotionsthema: Skill Generalisation and Experience Acquisition for Predicting and Avoiding Execution Failures betreut durch Prof. Dr. Gerhard Lakemeyer and Prof. Dr. Paul G. Plöger
Kontakt

E-Mail:
aleksandar.mitrevski [at] h-brs.deSankt Augustin
Profil
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
-
SS 2020
- TA Mathematics for Robotics and Control
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WS 2019
- LB Research and Development Colloquium
- TA Mathematics for Robotics and Control
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SS 2019
- LB Fault Detection and Diagnosis
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WS 2018
- LB Mathematics for Robotics and Control
- TA Scientific Experimentation and Evaluation
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SS 2018
- LB Research and Development Colloquium (mit Argentina Ortega)
- TA Mathematics for Robotics and Control
- TA Scientific Experimentation and Evaluation
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WS 2017/18
- TA Mathematics for Robotics and Control
- TA Scientific Experimentation and Evaluation
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SS 2017
- TA Probabilistic Methods for Robotics
- TA Mathematics for Robotics and Control (mit Santosh Thoduka)
- TA Scientific Experimentation and Evaluation (mit Santosh Thoduka)
Betreute Masterarbeiten
- Hashem Talaat: Robust environment sound classification and anomaly detection using deep learning
- Artem Vinokurov: Towards improvements on RoboCup@Home robots architecture, capabilities and development process
Betreute R&D-Projekte
- Ahmed Faisal Abdelrahman: Incorporating contextual knowledge into human-robot collaborative task execution
- Swaroop Bhandary: Learning corrective models for multistep actions by analysing videos
- Alan Orlando Gomez Torres: Registering and visualizing point cloud data with existing 3D CityGML Models
- Sogol Haghighat: A comparative analysis of fault detection approaches in mobile robots
- Erick Romero Kramer: Tell your robot what to do: Evaluation of natural language models for robot command processing
- Roberto Mendieta: A comparative analysis of fault detection approaches in mobile robots
- Anirudh Narasimamurthy: Manipulating Handles in Domestic Environments
- Minh Nguyen: Learning grasp evaluation models using synthetic 3D object-grasp representations
- Abhishek Padalkar: Dynamic motion primitives
- Jasmine Padhye: Ontology-Based Robot Fault Diagnosis
- Salman Omar Sohail: Automated Test Generation for Robot Self-Examination
- Hashem Talaat: Semantic information by acoustic clues: A modern approach to anomaly detection for robotics