activity
20182026
most citedIntelligent problem-solving as integrated hierarchical reinforcement learning

93 citations · 202 across the 37 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.RO2021

A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution

Di Fu, Fares Abawi, Hugo Carneiro +5

To enhance human-robot social interaction, it is essential for robots to process multiple social cues in a complex real-world environment. However, incongruency of input informatio…

cs.RO2021

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…

cs.RO2021★ 1 cited

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…

cs.RO2021★ 1 cited

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…

cs.RO2021

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…

cs.RO2021★ 5 cited

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…