Mihajlo Stevanović

MSc MVA student · ENS Paris-Saclay · Robot learning

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Paris region, France

Open to research internships · spring 2027 · get in touch

I'm interested in how robots can learn control from data rather than having it hand-tuned, through imitation and reinforcement learning, and world models that let them plan.

  • imitation learning
  • reinforcement learning
  • RL fine-tuning
  • world models
  • planning
  • contact-rich manipulation
  • sim-to-real

More about my research →

news

Sep 28, 2026 Started classes in the MVA master’s at ENS Paris-Saclay as a French Government (BGF) scholar.
Aug 16, 2026 At PSIML 2026 (Aug 5–16) I built an action-conditioned video world model for robot manipulation.
Jul 15, 2026 Graduated with a BSc in Electrical Engineering from the University of Belgrade (GPA 9.11/10). Thesis: limits of imitation learning for high-precision insertion.

selected publications

  1. ETRAN
    Creating a virtual environment to bridge the gap between simulation and reality in robot assembly tasks
    D. Seničić, F. Bečanović, D. Janković, L. Veličković, M. Stevanović, and K. Jovanović
    In Proceedings of the LXX ETRAN Conference, Jun 2026
    In Serbian