Publication: 'Semantically-Driven Deep Reinforcement Learning for Inspection Path Planning' (IEEE Robotics and Automation Letters, 2025); Conference Presentation: 'Olympus: A Jumping Quadruped for Planetary Exploration Utilizing Reinforcement Learning for In-Flight Attitude Control' (IEEE International Conference on Robotics and Automation 2025).
Research Experience
Worked as a Research Engineer at Robotic Systems Lab, ETH Zürich, Switzerland from 2022 to 2023; Currently a PhD Candidate under the supervision of Prof. Kostas Alexis, focusing on aerial-ground robot teaming for autonomous inspection of industrial environments.
Education
Received B.Sc. in Mechanical Engineering from ETH Zürich in 2019; M.Sc. in Robotics, Systems and Control from ETH Zürich under the supervision of Prof. Roland Siegwart in 2022.
Background
Research Interests: Planning and control of aerial robots and multi-robot systems, aiming to develop algorithms and techniques for operating autonomously in real-world applications. Professional Field: Robotics, Systems and Control.
Miscellany
Contact Information: grzegorz.malczyk@ntnu.no; +4746282460; D334 Elektro D+B2 Gløshaugen, Trondheim; Social Media: Twitter, ResearchGate, Google Scholar