The article discusses an autonomous and flexible robotic system for radiation monitoring. The detection part of the system comprises two NaI(Tl) scintillation detectors: one of these is collimated to allow directionally sensitive measurements and the other is used to calculate the dose rate and provides sufficient sensitivity. Special algorithms for autonomous operation of an unmanned ground vehicle were developed, utilizing radiation characteristics acquired by the implemented detection system. The system was designed to operate in three modes: radiation mapping, localization of discrete sources and inspection of a region of interest. All of the modes were verified experimentally. In the localization mode, the time required to localize ionizing radiation sources was reduced by half compared to the field mapping mode exploiting parallel trajectories; the localization accuracy remained the same. In the inspection mode, the desired functionality was achieved, and the changes in the sources arrangement were detected reliably in the experiments.

• MeSH
• algoritmy * MeSH
• ionizující záření * MeSH
• lidé MeSH
• monitorování radiace přístrojové vybavení   MeSH
• robotika metody   MeSH
• scintilace - počítání přístrojové vybavení   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

In this paper, we propose an integrated biologically inspired visual collision avoidance approach that is deployed on a real hexapod walking robot. The proposed approach is based on the Lobula giant movement detector (LGMD), a neural network for looming stimuli detection that can be found in visual pathways of insects, such as locusts. Although a superior performance of the LGMD in the detection of intercepting objects has been shown in many collision avoiding scenarios, its direct integration with motion control is an unexplored topic. In our work, we propose to utilize the LGMD neural network for visual interception detection with a central pattern generator (CPG) for locomotion control of a hexapod walking robot that are combined in the controller based on the long short-term memory (LSTM) recurrent neural network. Moreover, we propose self-supervised learning of the integrated controller to autonomously find a suitable setting of the system using a realistic robotic simulator. Thus, individual neural networks are trained in a simulation to enhance the performance of the controller that is then experimentally verified with a real hexapod walking robot in both collision and interception avoidance scenario and navigation in a cluttered environment.

• MeSH
• chování zvířat fyziologie   MeSH
• chůze fyziologie   MeSH
• kobylky fyziologie   MeSH
• neuronové sítě MeSH
• řízené strojové učení MeSH
• robotika přístrojové vybavení   MeSH
• učení vyhýbat se fyziologie   MeSH
• zvířata MeSH
• Check Tag
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

• MeSH
• anestetika terapeutické užití   MeSH
• anestezie MeSH
• anesteziologie metody   MeSH
• Publikační typ
• příručky MeSH

• Konspekt
• Patologie. Klinická medicína
• NLK Obory
• anesteziologie a intenzivní lékařství
• NLK Publikační typ
• kolektivní monografie
• učebnice vysokých škol

The neural network is computational model based on the features abstraction of biological neural systems. Th e neural networks have many ways of usage in technical fi eld. Th ey have been applied successfully to speech recognition, image analysis and adaptive control, in order to construct soft ware agents or autonomous robots. In this paper is described usage of neural networks for ECG signal prediction. Th e ECG signal prediction can be used for automated detection of irregular heartbeat – extrasystole. Th e automated detection system of unexpected abnormalities is also described in this paper.

• MeSH
• elektrokardiografie metody   přístrojové vybavení   využití   MeSH
• extrasystoly diagnóza   MeSH
• lidé MeSH
• neuronové sítě MeSH
• neurony fyziologie   MeSH
• počítačové metodologie MeSH
• počítačové zpracování signálu přístrojové vybavení   MeSH
• teoretické modely MeSH
• Check Tag
• lidé MeSH

• MeSH
• lékařská informatika MeSH
• telemedicína MeSH
• Publikační typ
• abstrakty MeSH
• kongresy MeSH
• sborníky MeSH

• Konspekt
• Lékařské vědy. Lékařství
• NLK Obory
• lékařská informatika