Refine
H-BRS Bibliography
- yes (148) (remove)
Departments, institutes and facilities
- Fachbereich Wirtschaftswissenschaften (42)
- Präsidium (33)
- Fachbereich Informatik (31)
- Fachbereich Angewandte Naturwissenschaften (24)
- Institute of Visual Computing (IVC) (12)
- Institut für funktionale Gen-Analytik (IFGA) (10)
- Fachbereich Ingenieurwissenschaften und Kommunikation (6)
- Fachbereich Sozialpolitik und Soziale Sicherung (4)
- Institut für Existenzgründung und Mittelstandsförderung (IfEM) (2)
- Institut für Sicherheitsforschung (ISF) (1)
Document Type
- Article (49)
- Part of Periodical (33)
- Conference Object (24)
- Book (monograph, edited volume) (14)
- Part of a Book (11)
- Conference Proceedings (6)
- Master's Thesis (4)
- Diploma Thesis (2)
- Report (2)
- Bachelor Thesis (1)
Year of publication
- 2008 (148) (remove)
Keywords
- Robotik (4)
- Deutschland (3)
- Projektbewertung (3)
- Wirkungsanalyse (3)
- Complement receptor 2/CD21 (2)
- Dienstleistungsqualität (2)
- Lehrbuch (2)
- Nachhaltigkeit (2)
- Unternehmen (2)
- shedding (2)
The research of autonomous artificial agents that adapt to and survive in changing, possibly hostile environments, has gained momentum in recent years. Many of such agents incorporate mechanisms to learn and acquire new knowledge from its environment, a feature that becomes fundamental to enable the desired adaptation, and account for the challenges that the environment poses. The issue of how to trigger such learning, however, has not been as thoroughly studied as its significance suggest. The solution explored is based on the use of surprise (the reaction to unexpected events), as the mechanism that triggers learning. This thesis introduces a computational model of surprise that enables the robotic learner to experience surprise and start the acquisition of knowledge to explain it. A measure of surprise that combines elements from information and probability theory, is presented. Such measure offers a response to surprising situations faced by the robot, that is proportional to the degree of unexpectedness of such event. The concepts of short- and long-term memory are investigated as factors that influence the resulting surprise. Short-term memory enables the robot to habituate to new, repeated surprises, and to “forget” about old ones, allowing them to become surprising again. Long-term memory contains knowledge that is known a priori or that has been previously learned by the robot. Such knowledge influences the surprise mechanism, by applying a subsumption principle: if the available knowledge is able to explain the surprising event, suppress any trigger of surprise. The computational model of robotic surprise has been successfully applied to the domain of a robotic learner, specifically one that learns by experimentation. A brief introduction to the context of such application is provided, as well as a discussion on related issues like the relationship of the surprise mechanism with other components of the robot conceptual architecture, the challenges presented by the specific learning paradigm used, and other components of the motivational structure of the agent.
A Low-Cost Based 6 DoF Head Tracker for Usability Application Studies in Virtual Environments
(2008)
The goal of this work is to develop an integration framework for a robotic software system which enables robotic learning by experimentation within a distributed and heterogeneous setting. To meet this challenge, the authors specified, defined, developed, implemented and tested a component-based architecture called XPERSIF. The architecture comprises loosely-coupled, autonomous components that offer services through their well-defined interfaces and form a service-oriented architecture. The Ice middleware is used in the communication layer. Additionally, the successful integration of the XPERSim simulator into the system has enabled simultaneous quasi-realtime observation of the simulation by numerous, distributed users.
In this paper we present an ongoing research work dedicated to a Virtual-Reality-based product customization application development. The work is addressing the problem of flexible and quick customization of products from a great number of parts. Our application is an effective instrument that can be simultaneously used by two users for rapid assembly tasks, allowing engineers and designers to work collaboratively. Furthermore, it is directly connected to a manufacturing environment, which is able to produce the product right after customization. In the paper we describe the architecture of the application, our interaction and assembly techniques, and explain how the system can be integrated into a manufacturing environment.
Advanced thermal gradient mechanical fatigue testing of CMSX-4 with an oxidation protection coating
(2008)
Betriebliches Gesundheitsmanagement und Generation 50plus: Wandlung, Anpassung, neue Chancen!?
(2008)
Das Betriebliche Gesundheitsmanagement (BGM) erfährt in den letzten Jahren eine immer bedeutendere Rolle in Unternehmen. Nicht nur Großunternehmen und DAX-Konzerne haben die Zeichen der Zeit erkannt und versuchen ihr vorhandenes „Human Ressource-Potential“ optimal auszuschöpfen. Immer mehr kleine- und mittlere Unternehmen (KMU) sehen gerade hier einen strategischen Wettbewerbsvorteil und in Teilen auch ein Alleinstellungsmerkmal.