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

Karam Daaboul

FZI

Machine Learning, Robotic Reinforcement Learning

PhD Students

Philipp Dahlinger

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

Aleksandar Taranovic

Reinforcement Learning from Human Feedback, Imitation Learning

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.

Marco Rositani

FZI

Alina Böhm

Reinforcement Learning for Robotics, World Models.

Off-Campus PhD Students

Huy Le

Bosch

Robot Manipulation, Diffusion Policies, and Massively Parallel Reinforcement Learning

Saleh Gholam Zadeh

SAP

Computer Networking, Deep Probabilistic Models

Christian Schorr

Bosch

Rúben Dhanaraju

Universidade do Porto

Reinforcement Learning

Visiting Researchers

Name	Position	Affiliation	Dates
Yonghoon Dong	PhD Student	KAIST AI, South Korea	Oct – Dec 2026
Fernando Fernández	PhD Student	Universidad Politécnica de Madrid, Spain	Jun – Sep 2026
Rafael Papallas	Assistant Professor	AUB Mediterraneo, Cyprus	May – Aug 2026
Longrui Chen	PhD Student	University of Leeds, UK

Alumni

Name	Research Area	Dates	Next Destination
Andreas Boltres	Graph Neural Networks, Computer Networking	05/2022 - 10/2026	Research Engineer, SAP
Roman Freiberg	Transfer Learning, Computer Vision, Robot Grasping	02/2023 - 2026	Research Engineer, Bosch
Balázs Gyenes	Imitation Learning, Reinforcement Learning	2021 - 2026
Nicolas Schreiber	Computer Vision, Imitation Learning, Robot Grasping	2021 - 2026
Niklas Freymuth	Graph Neural Networks, Large Language Models	2021 - 8/2026	Aleph Alpha
Ge Li (Bruce)	Reinforcement Learning, Action Sequence Representation Learning	04/2020 - 12/2025	Research Scientist, Google Intrinsic
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	Isomorphic Labs
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