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pro vyhledávání: '"Strahl, Erik"'
The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) task, a Generative Adversarial Network (GAN), and a Multi-Layer Perceptron architecture. These methods can be used in a
Externí odkaz:
http://arxiv.org/abs/2307.11554
Autor:
Becker, Dennis, Rueda, Diana, Beese, Felix, Torres, Brenda Scarleth Gutierrez, Lafdili, Myriem, Ahrens, Kyra, Fu, Di, Strahl, Erik, Weber, Tom, Wermter, Stefan
Increasing anthropomorphic robot behavioral design could affect trust and cooperation positively. However, studies have shown contradicting results and suggest a task-dependent relationship between robots that display emotions and trust. Therefore, t
Externí odkaz:
http://arxiv.org/abs/2307.02924
Autor:
Kerzel, Matthias, Allgeuer, Philipp, Strahl, Erik, Frick, Nicolas, Habekost, Jan-Gerrit, Eppe, Manfred, Wermter, Stefan
Publikováno v:
Published in IEEE Access 2023
Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a major goal in robotics. However, many existing robotic platforms are either designed for social interaction or industrial object manipulation tasks. The des
Externí odkaz:
http://arxiv.org/abs/2305.08528
Human eye gaze plays an important role in delivering information, communicating intent, and understanding others' mental states. Previous research shows that a robot's gaze can also affect humans' decision-making and strategy during an interaction. H
Externí odkaz:
http://arxiv.org/abs/2208.11647
Autor:
Ambsdorf, Jakob, Munir, Alina, Wei, Yiyao, Degkwitz, Klaas, Harms, Harm Matthias, Stannek, Susanne, Ahrens, Kyra, Becker, Dennis, Strahl, Erik, Weber, Tom, Wermter, Stefan
Recent developments in explainable artificial intelligence promise the potential to transform human-robot interaction: Explanations of robot decisions could affect user perceptions, justify their reliability, and increase trust. However, the effects
Externí odkaz:
http://arxiv.org/abs/2204.04501
Autor:
Fu, Di, Abawi, Fares, Carneiro, Hugo, Kerzel, Matthias, Chen, Ziwei, Strahl, Erik, Liu, Xun, Wermter, Stefan
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 information across modalities is inevitable and could be challenging for robots
Externí odkaz:
http://arxiv.org/abs/2111.01906
Autor:
Griffiths, Sascha, Alpay, Tayfun, Sutherland, Alexander, Kerzel, Matthias, Eppe, Manfred, Strahl, Erik, Wermter, Stefan
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 a coach or instructor whereas in other approaches they are used as mo
Externí odkaz:
http://arxiv.org/abs/2103.12940
We present a novel approach for interactive auditory object analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable plastic capsules. It gathers the resulting audio signals from microphon
Externí odkaz:
http://arxiv.org/abs/1807.01035
Akademický článek
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Autor:
Kerzel, Matthias, Ambsdorf, Jakob, Becker, Dennis, Lu, Wenhao, Strahl, Erik, Spisak, Josua, Gäde, Connor, Weber, Tom, Wermter, Stefan
Publikováno v:
KI: Künstliche Intelligenz; Dec2022, Vol. 36 Issue 3/4, p237-254, 18p
