Generate a tailored SOP for Dr. Majid Khadiv. Improve your application with a focused, well-structured draft.
Majid Khadiv's research interests include planning, control learning for robotic systems, with a focus on locomotion and manipulation. His research aims to develop theoretical frameworks that enable loco-manipulation systems to autonomously interact with environments and continuously learn from interactions. He has validated algorithms on real robots, which is a significant aspect of his research. Khadiv received his PhD from K. N. Toosi University of Technology in 2017, during which he led the dynamics control team for the Iranian national humanoid robotics project, Surena III. He also spent a year at the Max Planck Institute for Intelligent Systems, contributing to AI research. From 2018 to 2023, Khadiv worked as a research scientist at the Max Planck Institute for Intelligent Systems. In September 2023, he was appointed to a professorship focused on AI Planning in Dynamic Environments at the Technical University of Munich's Institute of Robotics and Machine Intelligence (MIRMI).
Technical University of Munich • Munich
Professor focused on AI Planning in Dynamic Environments.
Max Planck Institute for Intelligent Systems • Tübingen
Conducted research in AI and robotics.