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—We present the MuDiS project. The main goal of MuDiS is to develop a Multimodal Dialogue System that can be adapted quickly to a wide range of various scenarios. In this interdisciplinary project, we unite researchers from diverse areas, including computational linguistics, computer science, electrical engineering, and psychology. The different research(More)
This contribution describes the robot ALIAS (Adaptable Ambient Living Assistant). ALIAS is a mobile robot system that interacts with elderly users, monitors and provides cognitive assistance in daily life, and promotes social inclusion by creating connections to people and events in the wider world. The system is designed for people living alone at home or(More)
— This paper presents a concept of a smart working environment designed to allow true joint-actions of humans and industrial robots. The proposed system perceives its environment with multiple sensor modalities and acts in it with an industrial robot manipulator to assemble capital goods together with a human worker. In combination with the reactive(More)
Today's manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products, and changing market volumes. To manage these dynamics, several production concepts (e.g., flexible, reconfigurable, changeable or autonomous manufacturing and assembly systems) were proposed and partly realized in the past years.(More)
In this paper a concept and its implementation of an ergonomic cognitive assistant system for supporting human workers at complex assembly tasks in industrial environments is introduced. Depending on the level of the userpsilas product knowledge this mixed-initiative system follows and gains knowledge from the human workerpsilas construction steps while it(More)
— Traditional systems for digital assistance in manual assembly, e.g. optical displays at the work place, are inherently suboptimal for providing efficient and ergonomically feasible worker guidance. The display of sequential instructions does not offer an increase in productivity beyond a certain degree. Little situational support and the resulting(More)
In this paper, we present a novel approach for multimodal interactions between humans and industrial robots. The application scenario is situated in a factory, where a human worker is supported by a robot to accomplish a given hybrid assembly scenario, that covers manual and automated assembly steps. The robot is acting as an assistant as well as a fully(More)
In this paper, a platform for studying human-robot interaction is presented. Apart from presenting a robotic eye module, which exceeds human performance in terms of velocity and acceleration, we introduce a novel method of controlling a robot's head and eye movements. In a Wizard-of-Oz scenario, a human operator (the wizard) perceives the world from the(More)
Keywords: Adaptive control Hybrid assembly Instruction based learning Multi-modal interaction Worker surveillance a b s t r a c t Efficient cooperation of humans and industrial robots is based on a common understanding of the task as well as the perception and understanding of the partner's action in the next step. In this article, a hybrid assembly station(More)
This paper presents a system for human-robot communication situated in an ambient assisted living scenario, where the robot performs an order-and-serve-procedure. The interaction is based on different modalities that extract information from the auditory and the visual channel in order to obtain an intuitive and natural dialog. The required interaction(More)