5 papers
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…
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…
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…
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning
Mostafa Kotb, Cornelius Weber, Muhammad Burhan Hafez +1
Inspired by the success of the Transformer architecture in natural language processing and computer vision, we investigate the use of Transformers in Reinforcement Learning (RL), s…
Large Language Models for Orchestrating Bimanual Robots
Kun Chu, Xufeng Zhao, Cornelius Weber +3
Although there has been rapid progress in endowing robots with the ability to solve complex manipulation tasks, generating control policies for bimanual robots to solve tasks invol…