Mohammadhossein Malmir

Mohammadhossein Malmir is a Researcher at the Chair of Robotics, Artificial Intelligence and Real-time Systems at Technische Universität München (TUM). He joined the chair in November 2019 and currently contributes to the A-IQ Ready project (successor of AI4DI), focusing on learning algorithms for industrial manipulators and mobile robots in manufacturing and intralogistics tasks.

• Education
• B.Sc. in Electrical Engineering (Control Systems) from Amirkabir University of Technology (Tehran Polytechnic) (2014)
• M.Sc. in Automation and Control Engineering from Politecnico di Milano (2018)

His research addresses Sim2Real Transfer, Reinforcement Learning, Robust Control, and Model Predictive Control for autonomous robotic systems. He has published extensively on sim2real policy transfer, domain randomization, and control algorithms for manipulation and navigation tasks.

Recent publications highlight his work in dexterous grasping, continual domain adaptation, and deep reinforcement learning for trajectory optimization. His advising roles include supervising 13 master's students and interdisciplinary projects, with co-advisorship on topics like vision-based robotic grasping and socially compliant path planning.

He teaches courses on Cognitive Systems and Cloud-Based/Simulation-Based Machine Learning in Robotics, emphasizing reinforcement learning and sim2real methodologies.