Cardiac production of NO by NOS II attenuates the positive inotropic effects of beta-adrenergic stimulation and hastens relaxation in failing human hearts.

Abstract. We investigate the interaction of mobile robots, relying on information provided by heterogeneous sensor nodes, to accomplish a mission. Cooperative, adaptive and responsive monitoring in Mixed-Mode Environments (MMEs) raises the need for multi-disciplinary research initiatives. To date, such research initiatives are limited since each discipline focusses on its domain specific simulation or testbed environment. Existing evaluation environments do not respect the interdependencies occurring in MMEs. As a consequence, holistic validation for development, debugging, and performance analysis requires an evaluation tool incorporating multi-disciplinary demands. In the context of MMEs, we discuss existing solutions and highlight the synergetic benefits of a common evaluation tool. Based on this analysis we present the concept of the MM-ulator : a novel architecture for an evaluation tool incorporating the necessary diversity for multi-agent hard-/software-in-the-loop simulation in a modular and scalable way.

In this paper we present a framework and a method for sense and avoid to be used with unmanned areial sytems (UAS). The framework is an essential part to develop and validate the sense and avoidance algorithms. It is implemented and used for simulation and on a real system by using a common interface. The avoidance method in this paper is based on the fact that the intruder vehicle has certain limitations in turn rate and acceleration or deceleration. This is used to define the geometry of the threat zone for every intruder. In comparison to other geometry based algorithms the presented method uses the abilities (type) of the intruding aircraft and its current state. Diverse scenarios have been simulated successfully in that framework and code for the real system was generated and implemented.

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