activity
20222024
most citedIncremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models

36 citations · 59 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 1 cited

Episodic Memory Verbalization using Hierarchical Representations of Life-Long Robot Experience

Leonard Bärmann, Chad DeChant, Joana Plewnia +4

Verbalization of robot experience, i.e., summarization of and question answering about a robot's past, is a crucial ability for improving human-robot interaction. Previous works ap…

cs.RO2024

MAkEable: Memory-centered and Affordance-based Task Execution Framework for Transferable Mobile Manipulation Skills

Christoph Pohl, Fabian Reister, Fabian Peller-Konrad +1

To perform versatile mobile manipulation tasks in human-centered environments, the ability to efficiently transfer learned tasks and experiences from one robot to another or across…

cs.RO2023★ 1 cited

How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots

Niklas Hemken, Florian Jacob, Fabian Peller-Konrad +3

Humanoid robots will be able to assist humans in their daily life, in particular due to their versatile action capabilities. However, while these robots need a certain degree of au…

cs.RO2023★ 36 cited

Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models

Leonard Bärmann, Rainer Kartmann, Fabian Peller-Konrad +3

Natural-language dialog is key for intuitive human-robot interaction. It can be used not only to express humans' intents, but also to communicate instructions for improvement if a…

cs.AI2022★ 21 cited

A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX

Fabian Peller-Konrad, Rainer Kartmann, Christian R. G. Dreher +4

Cognitive agents such as humans and robots perceive their environment through an abundance of sensors producing streams of data that need to be processed to generate intelligent be…