Research Assistant


Foto von Josip Josifovski

M.Sc. Josip Josifovski

Room: 1.105

Address: Institut für Informatik 6 Technische Universität München

Schleißheimer Straße 90A, 85748 Garching bei München

Office Hours: By email

Curriculum Vitae

Josip Josifovski joined the Chair for Robotics, Artificial Intelligence and Real-Time systems as a research assistant in September 2019. He received his Master of Science degree in Intelligent Adaptive Systems from the University of Hamburg, Germany in 2018 and his Bachelor Degree in Informatics and Computer Engineering from the Ss. Cyril and Methodius University in Skopje, Macedonia in 2012. His previous experience includes development of the experimental setup for cross-modal learning with the Knowledge Technology group at University of Hamburg and several years of software development experience in the industry.

At his current position, he is working on the Artificial Intelligence for Digitizing Industry (AI4DI) project, developing simulations and learning algorithms for industrial robots.

Research Interests

  • Continual / Lifelong Learning in Robotics
  • Simulation in Robotics
  • (Cognitive) Computer Vision
  • Neural Networks
  • Reinforcement Learning
  • Artificial General Intelligence
  • Augmented Reality

Media

Publications

Wiedemann, T., Vlaicu, C., Josifovski, J. and Viseras, A.: Robotic Information Gathering with Reinforcement Learning Assisted by Domain Knowledge: An Application to Gas Source Localization. In IEEE Access9, (pp.13159-13172), 2021. (link, video)

Josifovski, J.; Malmir, M.; Klarmann, N.; Knoll, A.: Continual Learning on Incremental Simulations for Real-World Robotic Manipulation Tasks. In 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics, 2020. (link, video)

Malmir, M.; Josifovski, J.; Klarmann, N.; Knoll, A.: Robust Sim2Real Transfer by Learning Inverse Dynamics of Simulated Systems. In 2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics, 2020. (link, video)

Josifovski, J., Kerzel, M., Pregizer, C., Posniak, L. and Wermter, S.: Object detection and pose estimation based on convolutional neural networks trained with synthetic data. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6269-6276), IEEE, 2018. (link, video)

Wieser, I., Toprak, S., Grenzing, A., Hinz, T., Auddy, S., Karaoğuz, E.C., Chandran, A., Remmels, M., El Shinawi, A., Josifovski, J., Vankadara, L.C., Wahab, F., Bahnemiri, A., Sahu, D., Heinrich, S., Navarro-Guerrero, N., Strahl, E., Twiefel, J., Wermter, S.: A Robotic Home Assistant with Memory Aid Functionality. In Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz) (pp. 102-115). Springer, Cham, 2016. (link, video)

Teaching

SS2020 Software Engineering in Robotics

WS20/21 Masterpraktikum - Cloud-Based Machine Learning in Robotics (IN2106, IN0012, IN4287)

SS21 Masterpraktikum - Cloud-Based Machine Learning in Robotics (IN2106, IN0012, IN4287)

Thesis Advising

Completed:

  • Master Thesis: Automatic Rotation Correction for a Hybrid Fiber-Endoscopy-Video-Scope System; Student: Gergana Kratuncheva
  • Master Thesis: Reinforcement Learning for Gas Source Localization; Student: Cosmin Vlaicu
  • Master Thesis: Continual Reinforcement Learning for Robotic Manipulation Tasks using Time-Contrastive Networks; Student: Christoph Tittel
  • Bachelor Thesis: Application of Game Engines for Environment Randomization in Simulation-trained Computer Vision Tasks; Student: Florian Panzer
  • Bachelor Thesis: Reinforcement Learning: Comparison between Different State Representations for Solving a Reaching Task with Robotic Manipulator; Student: Meric Sakarya

Ongoing:

  • Master Thesis: Simulation-Based Hierarchical Reinforcement Learning for Robotic Manipulation Tasks; Student: Shruthi Narayani Venkatesh (co-advising with Noah Klarmann & Mohammadhossein Malmir)

Open topics: