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20172022
most citedEnhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization

53 citations · 230 across the 34 of their papers we have counts for

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17 papers · 1 filter

cs.RO20221 cited

Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios

Niclas Schroeter, Francisco Cruz, Stefan Wermter

With the increasing presence of robotic systems and human-robot environments in today's society, understanding the reasoning behind actions taken by a robot is becoming more import…

cs.RO2022

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…

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.RO20211 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.RO20211 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…