Maximilian Schmitz

Il - He/him

EPFL STI IEM LASA
ME A3 495 (Bâtiment ME)
Station 9
1015 Lausanne

EPFL STI IEM LASA
ME A3 495 (Bâtiment ME)
Station 9
1015 Lausanne

EPFLETUEDOCEDRS

Curriculum vitae

Professional Experience:
- Software Engineer II, Yamaha Motor Corporation, USA (June 2023 – July 2025)
- Control Engineer, Yamaha Motor Corporation, USA (Mar 2023 – June 2023)

Education

Master of Science Engineering Science and Mechanics

| Concentration in Computer vision and Wave Propagation

2020 – 2022 Georgia Institute of Technology
Directed by Prof. Laurence J. Jacobs

Master of Science in Engineering Cybernetics

| Concentration in Nonlinear Dynamics, Controls, Systems Theory, and Autonomous Systems

2019 – 2023 University of Stuttgart
Directed by Prof. C. David Remy

NLP, Robotics, and Control (ERASMUS Exchange Program)

|

2022 – 2022 University of Padua

Bachelor of Science in Mechanical Engineering

| Concentration in Mechatronics

2015 – 2019 University of Duisburg-Essen
Directed by Prof. Andrés Kecskeméthy

Research

Current Research Fields

My research investigates transfer learning in robotics, focusing on enabling robots to leverage prior knowledge when adapting to new tasks, environments, or embodiments. Through a systematic literature review of recent robotics publications, I am developing a comprehensive taxonomy of transfer learning approaches and identifying promising research directions. My work aims to bridge the gap between high-level task representations and low-level robot control, with particular interest in dual-mode learning scenarios. This research contributes to LASA's broader goal of developing generalizable robot learning systems that can efficiently acquire new skills without extensive retraining.