Majid Khadiv

Prof. Majid Khadiv is a Professor for AI Planning in Dynamic Environments at the Technical University of Munich (TUM), appointed in September 2023. He is affiliated with the TUM School of Computation, Information and Technology and the Munich Institute of Robotics and Machine Intelligence (MIRMI), where he leads research at the intersection of artificial intelligence and robotics.

His educational background includes:

• PhD from K. N. Toosi University of Technology (2017)

Prof. Khadiv's research focuses on planning, control and learning for robotic systems, with an emphasis on locomotion and manipulation. His work aims to develop theoretical frameworks that enable loco-manipulation systems to autonomously interact with environments and continuously learn from these interactions. His research spans both theoretical development and experimental validation on real robotic systems, particularly in the domains of humanoid robotics and legged locomotion.

His recent publications demonstrate a consistent focus on advancing robotic control through the integration of model-based optimization, machine learning, and physical understanding of robot dynamics. Key themes include locomotion planning, contact dynamics, uncertainty handling, and the development of robust control frameworks that can operate in real-world environments with physical constraints.

His notable scientific achievements include:

• Outstanding Reviewer Award, IEEE Robotics and Automation Letters (2023)
• Best Paper Award, IEEE-RAS Technical Committee on Model-based optimization for robotics (2022)
• 4x Internal Max Planck institute grants (Grassroots) (2019-2022)

Prof. Khadiv has extensive experience in both academic research and practical robotics development. During his PhD, he led the dynamics and control team for the Iranian national humanoid robotics project, Surena III. From 2018-2023, he worked as a research scientist at the Max Planck Institute for Intelligent Systems. His research has received significant grant support, including multiple internal Max Planck Institute grants. While specific student advising information isn't detailed in the provided materials, his position as a professor at TUM suggests he supervises graduate students in robotics and AI.

Prof. Khadiv is affiliated with the Munich Institute of Robotics and Machine Intelligence (MIRMI), which serves as The AI Mission Institute (AIM) at TUM. His laboratory work focuses on developing and testing algorithms on real robotic systems, with particular emphasis on validation of theoretical frameworks in practical settings. His team likely includes researchers working on various aspects of robot control, planning, and learning, contributing to TUM's broader mission in robotics and artificial intelligence.