Humanoid service robots promise a high adaptability to environments designed for hu-mans due to their human-like body layout. They are thus well-suited to assist humans in domestic environments for everyday tasks or providing elderly care, but also to replace human workers in hazardous environments

While active vision is a relatively new approach to computer vision, it offers impressive computational benefits for scene analysis in realistic environments. This paper describes a novel camera platform for the real-time, real-world application of active vision in robots. Requirements

and supports key facilities required for source localization: a sensor array, wireless network services, time synchronization, and precise self-calibration of array position and orientation. The ENSBox’s integrated, high precision self-calibration facility sets it apart from other platforms. This self

the client point of view) high-performance solutions. In this paper we present a general client/server rendering architecture based on Real-Time concepts, including support for a wide range of client platforms and applications. The idea of focusing on the real-time behaviour of all components involved

project to develop a high performance modelling and simulation environment to.support modelling of large-scale, high resolution land-.scape systems. L High performance simulation ‘The pa.per reports on design a,nd henchma.rking of a high performance computing environment support-iug simulat,ion

probabilistic approach for autonomous multisensor information fusion on a humanoid robot. The robot exploits the known structure of the environment to autonomously model the expected performance of the individual information processing schemes. The learned models are used to effectively merge the available

Abstract — Mobile Ad-hoc Networks (MANETs) exhibit unpredictable topology with heterogeneous node contact rates, high mobility and limited information. When dealing with such challenging environments, the mobility model has a key role in testing the performance and proving the expected behavior

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changes in the operating environment. On the reactive level, the robot is controlled using a hierarchy of low-level behaviours. On the high level, a logical representation of the world enables the robot to plan action sequences and to reason about the state of the world. If the execution of an action does

In this paper we present a new methodology for the performance prediction of parallel programs on parallel platforms ranging from shared-memory to distributed-memory (vector) machines. The methodology comprises a procedural program and machine specification paradigm based on Pamela (PerformAnce Mod