Majid Khadiv
Applied and Theoretical Aspects of Robot Intelligence (ATARI) Lab
Chair of AI Planning in Dynamic Environments
Munich Institute of Robotics and Machine Intelligence
Technical University of Munich
Room: 2941.01.121R
Contact: majid.khadiv(at)tum.de
About
Majid Khadiv is an assistant professor in the school of Computation, Information and Technology (CIT). He leads the chair of AI Planning in Dynamics Environment at TUM and is also a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). Prior to joining TUM, he was a research scientist at the Empirical Inference department at the Max Planck Institute for Intelligent systems. Before that he was a postdoctoral researcher in the Machines in Motion, a joint laboratory between New York University and Max Planck Institute. Since the start of his PhD in 2012, he has been performing research on motion planning, control and learning for legged robots ranging from quadrupeds, lower-limb exoskeleton up to humanoid robots. He is currently an associate editor of the International Journal of Robotics Research (IJRR), IEEE Transactions on Robotics (T-RO) and IEEE Robotics and Automation Letters (RA-L) and has served for several years as an associate editor in major robotics conferences (ICRA, IROS, Humanoids). Contact: majidDOTkhadivATtum.de
Teaching
Winter term 2024/25
Course no. | Title | Dates | Duration | Type |
---|---|---|---|---|
0000001679 | Foundations of Modern Robotics | 5 | VI | |
0000002609 | Seminar Learning-based legged locomotion | 2 | SE |