Our Team

That's us.

Faculty

Prof. Gerhard Neumann

Head of the Autonomous Learning Robot (ALR) group at KIT

Staffs

Christine Brand

Administrative support for the ALR group

Postdoctoral Researchers

Onur Celik

Reinforcement Learning

PhD Students

Niklas Freymuth

Graph Network Simulators, Multi-Agent Reinforcement Learning, Large Language Models

Philipp Dahlinger

Graph Network Simulation, Meta-Learning, Bayesian Deep Learning.

Balázs Gyenes

Imitation Learning, Reinforcement Learning.

Aleksandar Taranovic

Reinforcement Learning from Human Feedback, Imitation Learning

Nicolas Schreiber

Computer Vision, Imitation Learning, Robot Grasping.

Xiaogang Jia

Imitation Learning, Offline Reinforcement Learning.

Denis Blessing

Variational Inference, Latent Variable Models, Diffusion Models.

Xinkai Jiang

Imitation Learning, Human-Robot Interaction, Robot Grasping.

Tai Hoang

Reinforcement learning and physical modelling with graphs.

Enes Ulas Dincer

Imitation Learning, and Human-Robot Interaction (HRI)

Max Nagy

FZI

Reinforcement Learning, Real World Robotics, Heavy Machines

Emiliyan Gospodinov

Vision-Language-Action Models, Reinforcement Learning

Qian Wang

Imitation Learning, Vision Foundation Models, Vision-Language-Action Models

Weiran Liao

Reinforcement Learning, Imitation Learning

Florian Seligmann

Vision-Language-Action Models, Imitation Learning, Uncertainty Quantification

Serge Thilges

Reinforcement Learning, Diffusion Models, Dexterous Hands.

Off-Campus PhD Students

Andreas Boltres

SAP

Computer Networking, Geometric Deep Learning, Multi-Agent Reinforcement Learning

Huy Le

Bosch

Robot Manipulation, Diffusion Policies, and Massively Parallel Reinforcement Learning

Saleh Gholam Zadeh

SAP

Computer Networking, Deep Probabilistic Models

Roman Freiberg

Bosch

Transfer Learning, Computer Vision, Robot Grasping

Alumni

Name	Research Area	Dates	Next Destination
Ge Li (Bruce)	Reinforcement Learning, Motion Primitives	04/2020 - 11/2025
Philipp Becker	Reinforcement Learning, Variational Inference	01/2020 - 10/2025	Postdoc at Meta FAIR (Paris)
Vaisakh Shaj	Deep Probabilistic Models, Model-Based RL, Multi Task Learning	07/2020 - 11/2024	Postdoc, University of Edinburgh
Ning Gao	Computer Vision, Meta-Learning, Robot Grasping	05/2020 - 05/2024	Machine Learning Engineer, Google
Hadi Beik-Mohammadi	Imitation Learning, Riemannian Manifolds, Robot Motion Learning, Variational Inference	05/2020 - 09/2024	Research Engineer, Bosch Research
Fabian Duffhauß	Computer Vision, Deep Learning, Variational Inference	11/2019 - 2023
Fabian Otto	Deep RL, Hierarchical RL, Trust-Region RL	11/2019 - 10/2023	Machine Learning Researcher, Microsoft
Maximilian Hüttenrauch	Deep RL, Multi-Agent RL, Trust-Region RL, Versatile Skill Leaning	01/2020 - 11/2024	Research Scientist, appliedAI
Michael Volpp	Bayesian Deep Learning, Meta-Learning, Variational Inference	07/2018 - 09/2022	Research Scientist, Bosch Center for Artificial Intelligence