activity
20172026
most citedSurvey on reinforcement learning for language processing

154 citations · 510 across the 52 of their papers we have counts for

collaborators

57 papers

cs.RO2026

DreamFormer: Dream Imitation with a Transformer World Model for Language-Conditioned Robotic Manipulation

Mostafa Kotb, Cornelius Weber, Muhammad Burhan Hafez +1

We introduce DreamFormer, a model-based agent that acquires language-conditioned, multi-task skills by imitating expert demonstrations within the latent imagination of a learned wo…

cs.RO2026

MorphIK: Morphology-Conditioned Neural Inverse Kinematics for Unknown Robots

Lennart Clasmeier, Jan Gerrit Habekost, Cornelius Weber +1

Neural models can learn to generate various solutions to the inverse kinematics problem from data, but are usually limited to a single robot. We present MorphIK, a flow-matching mo…

cs.RO2026

SmoLSTM: A Compact Vision-Language-Action Model with Recurrent Memory that Persists

Jan-Gerrit Habekost, Parsa Mastouri Kashani, Connor Gäde +5

Vision-language-action models often predict actions from only the current observation, which can leave tasks involving object occlusion or visually identical objects ambiguous with…

cs.HC2026

Uncertainty, Vagueness, and Ambiguity in Human-Robot Interaction: Why Conceptualization Matters

Xiaowen Sun, Cornelius Weber, Matthias Kerzel +2

Uncertainty, vagueness, and ambiguity are closely related and often confused concepts in human-robot interaction (HRI). In earlier studies, these concepts have been defined in cont…

cs.RO2025

Theory of Mind for Explainable Human-Robot Interaction

Marie S. Bauer, Julia Gachot, Matthias Kerzel +2

Within the context of human-robot interaction (HRI), Theory of Mind (ToM) is intended to serve as a user-friendly backend to the interface of robotic systems, enabling robots to in…

cs.RO2025

LLM-based Interactive Imitation Learning for Robotic Manipulation

Jonas Werner, Kun Chu, Cornelius Weber +1

Recent advancements in machine learning provide methods to train autonomous agents capable of handling the increasing complexity of sequential decision-making in robotics. Imitatio…