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Department of Computer Science

mitrevski_web.png (DE)

Alex Mitrevski

PhD Student, Research Associate b-it and MigrAVE, Team Leader b-it-bots@Home

Unit

Department of Computer Science

Location

Sankt Augustin

Room

C201

Address

Grantham-Allee 20

53757, Sankt Augustin

Profile

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

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)

Co-supervised master's theses

  • 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
  • Lifelong action learning for socially assistive robots

Co-supervised R&D projects

  • Incorporating contextual knowledge into human-robot collaborative task execution
  • Learning corrective models for multistep actions by analysing videos
  • 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
  • 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
  • Personalised behaviour models for child-robot interaction
  • Semantic information by acoustic clues: A modern approach to anomaly detection for robotics

Research Projects

MigrAVE

In the MigrAVE project, the objective is to develop supporting technologies for children diagnosed with Autism Spectrum Disorder (ASD). ASD is a disorder that leads to behavioural and social challenges for those affected, for instance difficulty recognising emotions, general inability to act appropriately in everyday social situations, or repetitive behaviours. Early treatment of ASD could mitigate the effects of the disorder and improve the quality of life of affected people. For that reason, MigrAVE focuses on treatment of young children who have been diagnosed with the disorder. In particular, MigrAVE aims to develop two complementary tools to support both therapists and parents in the treatment of children with ASD: An online portal that provides a complete learning curriculum for children at different levels of the disorder and different stages of development A robot assistant that provides a unique learning opportunity for children by reducing the pressure of challenging social situations Both the portal and the robot assistant are developed to be multilingual, as the project particularly aims to develop tools that are usable by families with a migration background and potential language barriers.

Project management at the H-BRS

Prof. Dr Paul G. Plöger
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ROPOD

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.

Project management at the H-BRS

Prof. Dr Erwin Prassler
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