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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…
cs.RO2025
LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language
Kun Chu, Xufeng Zhao, Cornelius Weber +1
Bimanual robotic manipulation provides significant versatility, but also presents an inherent challenge due to the complexity involved in the spatial and temporal coordination betw…