activity
20222025
most citedIntelligent problem-solving as integrated hierarchical reinforcement learning

93 citations · 168 across the 26 of their papers we have counts for

collaborators
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12 papers · 1 filter

cs.RO2025

Pointing-Guided Target Estimation via Transformer-Based Attention

Luca Müller, Hassan Ali, Philipp Allgeuer +2

Deictic gestures, like pointing, are a fundamental form of non-verbal communication, enabling humans to direct attention to specific objects or locations. This capability is essent…

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…

cs.RO202427 cited

When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration

Philipp Allgeuer, Hassan Ali, Stefan Wermter

We investigate the use of Large Language Models (LLMs) to equip neural robotic agents with human-like social and cognitive competencies, for the purpose of open-ended human-robot c…

cs.RO20244 cited

Human Impression of Humanoid Robots Mirroring Social Cues

Di Fu, Fares Abawi, Philipp Allgeuer +1

Mirroring non-verbal social cues such as affect or movement can enhance human-human and human-robot interactions in the real world. The robotic platforms and control methods also i…

cs.RO20231 cited

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Kun Chu, Xufeng Zhao, Cornelius Weber +2

Reinforcement Learning (RL) plays an important role in the robotic manipulation domain since it allows self-learning from trial-and-error interactions with the environment. Still,…

cs.RO202317 cited

Continual Robot Learning using Self-Supervised Task Inference

Muhammad Burhan Hafez, Stefan Wermter

Endowing robots with the human ability to learn a growing set of skills over the course of a lifetime as opposed to mastering single tasks is an open problem in robot learning. Whi…