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Design and implementation aspects of a 3D reconstruction algorithm for the Jülich TierPET system
(1997)
In the RoboCup@Home domestic service robot competition, complex tasks such as "get the cup from the kitchen and bring it to the living room" or "find me this and that object in the apartment" have to be accomplished. At these competitions the robots may only be instructed by natural language. As humans use qualitative concepts such as "near" or "far", the robot needs to cope with them, too. For our domestic robot, we use the robot programming and plan language Readylog, our variant of Golog. In previous work we extended the action language Golog, which was developed for the high-level control of agents and robots, with fuzzy concepts and showed how to embed fuzzy controllers in Golog. In this paper, we demonstrate how these notions can be fruitfully applied to two domestic service robotic scenarios. In the first application, we demonstrate how qualitative fluents based on a fuzzy set semantics can be deployed. In the second program, we show an example of a fuzzy controller for a follow-a-person task.
Physical layer specification of the L-band Digital Aeronautical Communications System (L-DACS1)
(2009)
An application of a scanning light-addressable potentiometric sensor for label-free DNA detection
(2013)
Sensitivity of phase detection techniques in aerated chute flows to hydraulic design parameters
(2012)
Wing weight estimation methodology for highly non-planar lifting systems during conceptual design
(2013)
Optimization of the reaeration potential on embankment stepped spillways in skimming flow regime
(2008)
Architecture for platform- and hardware-independent mesh networks : how to unify the channels
(2013)
This paper will prove that mesh networks among different platforms and hardware channels can help to channel valuable information even if public telecommunication infrastructure is not available due to arbitrary reasons. Therefore, results of a simulation for mesh networks on mass events will be provided, followed by the developed architecture and an outlook on future research. The developed architecture is currently being implemented and field tested on mass events.