Paper
4 May 1993 Monitoring system with logical reasoning for mobile robot guidance
Claudio Laloni, R. Gutsche, Friedrich M. Wahl
Author Affiliations +
Proceedings Volume 1831, Mobile Robots VII; (1993) https://doi.org/10.1117/12.143804
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
In this paper we propose a monitoring system for the observation and navigation of mobile vehicles in factory environments. After a short overview about the complete flexible transport system, the monitoring system, consisting of a global sensor system with an integrated logical reasoning control module, is described in more detail. The aim of the global monitoring is the seamless observation of the complete factory environment to detect all dynamic changes. This global concept offers many advantages: the on-carrier sensors can be kept simple and cheap, driving paths can be early modified by the navigators and the actual detected carrier positions can be used for control purposes. The proposed system has a multi layer architecture consisting of the sensor layer, the low-level and high-level control layer. The sensor layer is responsible for the acquisition of environment data and low-level data analysis. The task of the low-level control layer is the improvement of the analysis data, using as much as possible a priori information. The high-level control layer executes the coordination of different observation tasks, using control rules which are activated by the results of the low-level control layer.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudio Laloni, R. Gutsche, and Friedrich M. Wahl "Monitoring system with logical reasoning for mobile robot guidance", Proc. SPIE 1831, Mobile Robots VII, (4 May 1993); https://doi.org/10.1117/12.143804
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Electroactive polymers

Signal processing

Mobile robots

Navigation systems

Control systems

Process control

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