1 citations · 1 across the 2 of their papers we have counts for
3 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…