TY  - THES
AB  - Robots that are used to support humans in dangerous environments, e.g., in manufacture facilities, are established for decades. Now, a new generation of service robots is focus of current research and about to be introduced. These intelligent service robots are intended to support humans in everyday life. To achieve a most comfortable human-robot interaction with non-expert users it is, thus, imperative for the acceptance of such robots to provide interaction interfaces that we humans are accustomed to in comparison to human-human communication. Consequently, intuitive modalities like gestures or spontaneous speech are needed to teach the robot previously unknown objects and locations. Then, the robot can be entrusted with tasks like fetch-and-carry orders even without an extensive training of the user. In this context, this dissertation introduces the multimodal Object Attention System which offers a flexible integration of common interaction modalities in combination with state-of-the-art image and speech processing techniques from other research projects. To prove the feasibility of the approach the presented Object Attention System has successfully been integrated in different robotic hardware. In particular, the mobile robot BIRON and the anthropomorphic robot BARTHOC of the Applied Computer Science Group at Bielefeld University. Concluding, the aim of this work, to acquire a qualitative Scene Model by a modular component offering object attention mechanisms, has been successfully achieved as demonstrated on numerous occasions like reviews for the EU-integrated Project COGNIRON or demos.
DA  - 2007
KW  - Mensch-Maschine-Kommunikation , Multimodales System , Objekt (Informatik) , Aufmerksamkeit , Topologie , Szenenanalyse , Modell ,  , Multimodal object attention system , Human-robot interaction , Qualitative scene model , Topology , Iconic scene memory
LA  - eng
PY  - 2007
TI  - Attention-controlled acquisition of a qualitative scene model for mobile robots
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:361-11604
Y2  - 2024-11-22T00:47:58
ER  -