Thesis: Learning Robot-Individual Physics Models from Calibration Data

About the role

ABB Robotics is seeking a Master’s student to conduct a thesis on learning robot‑individual physics models using calibration data and test measurements. The work will be carried out within the Motion Control department of ABB Robotics in Västerås.

Key responsibilities

• Investigate how production data can be used to extract robot‑specific characteristics.
• Develop machine‑learning methods to integrate extracted information with physics‑based models.
• Propose a framework for continuously updating individual robot models from normal production data.

Required profile

• Enrolled in a Master’s program in Engineering Physics, Electrical Engineering, Mechanical Engineering or Computer Science.
• Strong interest in machine learning, system identification, physics‑based modeling and control theory.

Required skills

• Proficiency in Matlab and/or Python.
• Basic programming knowledge in C/C++.