16 citations · 27 across the 11 of their papers we have counts for
7 papers · 1 filter
Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks
Nima Rahrakhshan, Matthias Kerzel, Philipp Allgeuer +2
The act of reaching for an object is a fundamental yet complex skill for a robotic agent, requiring a high degree of visuomotor control and coordination. In consideration of dynami…
Robotic Occlusion Reasoning for Efficient Object Existence Prediction
Mengdi Li, Cornelius Weber, Matthias Kerzel +4
Reasoning about potential occlusions is essential for robots to efficiently predict whether an object exists in an environment. Though existing work shows that a robot with active…
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning
Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger +6
Telerobotic systems must adapt to new environmental conditions and deal with high uncertainty caused by long-time delays. As one of the best alternatives to human-level intelligenc…
Exercise with Social Robots: Companion or Coach?
Sascha Griffiths, Tayfun Alpay, Alexander Sutherland +4
In this paper, we investigate the roles that social robots can take in physical exercise with human partners. In related work, robots or virtual intelligent agents take the role of…
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue
Henrique Siqueira, Alexander Sutherland, Pablo Barros +3
Effectively recognising and applying emotions to interactions is a highly desirable trait for social robots. Implicitly understanding how subjects experience different kinds of act…
Continual Learning from Synthetic Data for a Humanoid Exercise Robot
Nicolas Duczek, Matthias Kerzel, Stefan Wermter
In order to detect and correct physical exercises, a Grow-When-Required Network (GWR) with recurrent connections, episodic memory and a novel subnode mechanism is developed in orde…