Toma Sikora

Toma Sikora

Computer scientist by degree, roboticist by heart. Interested in robotics and artificial intelligence. Fascinated by dynamic, nature-inspired control systems and learning algorithms.

Hello there

I’m currently working on the control of a drone I built from scratch, force profile tracking with a manipulator through RL in IsaacLab, generating traditional folk melody with diffusion algorithms, and UAV navigation algorithms for inspection of dynamic objects for my PhD at FESB, Split.

I previously worked on autonomous driving stack for the Duckietown project with the PoliDuckie team, learning trajectory tracking for an autonomous surface vehicle in urban waterways (article), and positioning systems for UAVs in operating wind turbine inspection (article) and robotic manipulators in a nuclear vessel of a nuclear power plant (article).

Projects

  • drone-project: a quadcopter built from scratch.
  • Duckietown: an autonomous driving platform started by MIT holding annual worldwide competitions in various disciplines
    • PoliDuckie team won 5th place in 2021 and presented its work at NeurIPS!
  • agilex-scout-odometry: odometry computation for AgileX Scout 2.0 robot.
  • mousecheese: PlayBot4All team 3 project.
  • gym-pendulum-control: control theory algorithm implementations on the inverted pendulum problem.
  • Software_Engineering_2_Project_Medvedec_Sikora: android app built for store customer management during pandemic times.
  • coding-practice: personal algorithm practice repo.

Linkedin profile: https://hr.linkedin.com/in/toma-sikora-8ab8a7201

Emails: