Malte Mosbach

Research

Malte Mosbach

I am a PhD student in the Autonomous Intelligent Systems Group at University of Bonn advised by Sven Behnke.

About me

My research aims to make reinforcement learning practical for complex robot control by leveraging foundation models, scaling training, exploring student-teacher learning, developing robust representations, and more. If this excites you, please don't hesitate to reach out.

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Selected Publications

A complete, up-to-date list of publications can be found on Google Scholar.

Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects

Malte Mosbach, Sven Behnke
ICRA, 2024
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Learning Generalizable Tool Use with Non-rigid Grasp-pose Registration

Malte Mosbach, Sven Behnke
CASE, 2023 (Best Conference Paper Award)
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Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies

Malte Mosbach, Sven Behnke
IRC, 2022
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Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality Demonstrations

Malte Mosbach, Kara Moraw, Sven Behnke
Humanoids, 2022
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Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks

Christian Scheiderer, Malte Mosbach, Andrés Posada-Moreno, Tobias Meisen
CSCI, 2020
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