Scholar
Rudolf Lioutikov
Google Scholar ID: hvjV43MAAAAJ
TT-Professor, Intuitive Robots Lab, Karlsruhe Institute of Technology
Citations & Impact
Citations
1,644
H-index
22
i10-index
28
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Academic Achievements
- He has published several papers on topics such as improving imitation learning, scaling up robot policy learning, and introducing the Multimodal Diffusion Transformer.
Research Experience
- Since December 2022, he has been a Tenure-Track Professor at Karlsruhe Institute of Technology; from June 2021 to November 2022, he served as a Research Group Leader at Karlsruhe Institute of Technology; from January 2019 to May 2021, he was an Assistant Professor of Practice at the University of Texas at Austin, leading the Robot Learning Stream of the Freshmen Research Initiative; during this time, he also worked as a Postdoctoral Fellow at the Personal Autonomous Robotics Lab.
Education
- From October 2013 to October 2018, he obtained his Ph.D. in Machine Learning and Robotics from Technische Universität Darmstadt, where his dissertation focused on developing an imitation learning pipeline that learns a library of movement primitives and a comprehensible behavior representation from unlabeled data.
Background
- Rudolf Lioutikov is a researcher focusing on intuitive robots, machine learning, robotics, robot learning, imitation learning, and human-robot collaboration. He aims to develop new robot learning methods, particularly in the area of human-robot interaction with non-experts.
Miscellany
- Contact: rudolf@intuitive-robots.net, +49 721 608 47106; Address: Adenauerring 4, 76131 Karlsruhe, Building 50.21 (Access via Hölderlinstr. 2a), 3rd Floor
