36 citations · 63 across the 5 of their papers we have counts for
5 papers
Learning Spatial Bimanual Action Models Based on Affordance Regions and Human Demonstrations
Björn S. Plonka, Christian Dreher, Andre Meixner +2
In this paper, we present a novel approach for learning bimanual manipulation actions from human demonstration by extracting spatial constraints between affordance regions, termed…
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…
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…
Interactive and Incremental Learning of Spatial Object Relations from Human Demonstrations
Rainer Kartmann, Tamim Asfour
Humans use semantic concepts such as spatial relations between objects to describe scenes and communicate tasks such as "Put the tea to the right of the cup" or "Move the plate bet…
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…