G
Gerhard Sagerer
Researcher at Bielefeld University
Publications - 281
Citations - 5817
Gerhard Sagerer is an academic researcher from Bielefeld University. The author has contributed to research in topics: Mobile robot & Social robot. The author has an hindex of 37, co-authored 281 publications receiving 5585 citations. Previous affiliations of Gerhard Sagerer include University of Erlangen-Nuremberg & Daimler AG.
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Journal ArticleDOI
Can machines think? Interaction and perspective taking with robots investigated via fMRI.
Sören Krach,Frank Hegel,Britta Wrede,Gerhard Sagerer,Ferdinand Binkofski,Tilo Kircher,Tilo Kircher +6 more
TL;DR: The results demonstrate that the tendency to build a model of another's mind linearly increases with its perceived human-likeness, first evidence of a contribution of higher human cognitive functions such as ToM in direct interactions with artificial robots.
Journal ArticleDOI
Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
Angelo Cangelosi,Giorgio Metta,Gerhard Sagerer,Stefano Nolfi,Chrystopher L. Nehaniv,Kerstin Fischer,Jun Tani,Tony Belpaeme,Giulio Sandini,Francesco Nori,Luciano Fadiga,Britta Wrede,Katharina J. Rohlfing,Elio Tuci,Kerstin Dautenhahn,Joe Saunders,Arne Zeschel +16 more
TL;DR: It is proposed that the study of embodied cognitive agents, such as humanoid robots, can advance the understanding of the cognitive development of complex sensorimotor, linguistic, and social learning skills, which will benefit the design of cognitive robots capable of learning to handle and manipulate objects and tools autonomously.
Proceedings ArticleDOI
Understanding Social Robots
TL;DR: It is argued that form, function, and context have to be taken systematically into account in order to develop a model to help us understand social robots.
Journal ArticleDOI
Combining acoustic and articulatory feature information for robust speech recognition
TL;DR: It is shown that articulatory feature (AF) systems are capable of achieving a superior performance at high noise levels and that the combination of acoustic and AFs consistently leads to a significant reduction of word error rate across all acoustic conditions.
Proceedings ArticleDOI
The bielefeld anthropomorphic robot head “Flobi”
Ingo Lütkebohle,Frank Hegel,Simon Schulz,Matthias Hackel,Britta Wrede,Sven Wachsmuth,Gerhard Sagerer +6 more
TL;DR: The design of a robot's head faces contradicting requirements when integrating powerful sensing with social expression and reactions of the general public show that current head designs often cause negative user reactions and distract from the functional capabilities.