Andrei Costinescu
Scholar

Andrei Costinescu

Google Scholar ID: j5e7SkEAAAAJ
Technical University of Munich
Artificial IntelligenceRoboticsTask RepresentationScene Understanding
Citations & Impact
All-time
Citations
27
 
H-index
1
 
i10-index
1
 
Publications
8
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Published several papers, such as 'Adaptation of Task Goal States from Prior Knowledge', 'A Knowledge Modeling Framework for Household Action Recognition and Task Representation: The Concept Hierarchy', and presented research findings at various international conferences.
Research Experience
  • Serves as a Research Assistant at the Machine Vision and Perception Group, Technical University of Munich. Involved in multiple projects, including a knowledge modeling framework for household action recognition and task representation using the concept hierarchy, learning essential task features by visually analyzing non-expert human demonstrations, etc.
Education
  • Ph.D. in Informatics, Technical University of Munich (since 2020); M.Sc. in Informatics, Technical University of Munich (2017-2019); B.Sc. in Informatics, Technical University of Munich (2014-2017).
Background
  • Research interests include Knowledge Representation, Task Representation (Modelling), Recognition, Learning, and Execution, Human Action Modelling and Recognition, Action & Skill Semantics, Context Analysis, Environment Semantics, Scene Understanding, Robot Grasp Modelling, Speech Analysis (Text-to-Speech & Speech-to-Text), Human Gesture & Facial Expressions Analysis, Applied Artificial Intelligence, Robot Perception, Learning Strategies, Problem Solving & Modelling, Graph Theory and Applications to AI, Visualization & Simulation.