PhD Candidate
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: 2941.01.115R
Contact: shafeef.omar(at)tum.de
Personal Website: https://shafeef901.github.io
Work with us
I am currently seeking exceptional master's students interested in contributing to our research in reinforcement learning for robotics. If you are enthusiastic about developing advanced algorithms and applying them to real-world legged robots, please feel free to get in touch!
About
Shafeef Omar is a PhD candidate at ATARI lab, specializing in robotics and artificial intelligence. Previously, he was a research fellow (2022-2024) with the Dynamic Legged Systems Lab at the Istituto Italiano di Tecnologia. Before that, he was a research associate (2021-2022) with the Artificial Intelligence and Robotics Laboratory at the Indian Institute of Science Bangalore. He graduated from the Indian Institute of Technology Madras with a Dual Degree in Engineering Design. In his current research, he focuses on inducing biases using model-based priors to learn safe and robust vision-aided loco-manipulation policies for legged robots.
Winter term 2024/25
| Course no. | Title | Dates | Duration | Type |
|---|---|---|---|---|
| 0000002609 | Seminar Learning-based legged locomotion |
|
2 | SE |