Mohammad Hasan Yeganegi

Mohammad Hasan Yeganegi serves as a Researcher at the Applied and Theoretical Aspects of Robot Intelligence (ATARI) Lab, a collaborative research initiative between the Technical University of Munich and the University of Trento. He is currently pursuing his Ph.D. in Materials, Mechatronics, and Systems Engineering at the University of Trento, focusing on advanced control methodologies for robotic systems.

His academic background includes:

• B.Sc. in Mechanical Engineering from Bu-Ali Sina University (2016)
• M.Sc. in Mechanical Engineering from K. N. Toosi University of Technology (2019)

Yeganegi's research sits at the intersection of optimal control and machine learning, with concentrated expertise in legged locomotion systems. His doctoral work specifically investigates generalization of learned control policies and integration of safety constraints through novel learning frameworks, aiming to develop robust autonomous robots capable of operating in unstructured real-world environments. This research bridges theoretical control algorithms with practical robotic applications.

As an active member of the ATARI Lab under Prof. Majid Khadiv, he contributes to cutting-edge projects in robot intelligence while maintaining strong institutional ties with both the University of Trento and Technical University of Munich.