The paper, gives a short review of mobile robotic research, and through the use of three case studies which describe, in brief, current research undertaken at three establishments, indicates the role that neural networks are playing in this process and hence the impact that they may have on the military environment. The three case studies are chosen to illustrate the advantage, in terms of speed, compactness, and adaptability, of the use of these systems in what are defined as 'the three essential functional areas for mobile robot control': localisation (when am I?), path planning (where do I want to be?), obstacle avoidance (is there anything in the way?). The first case study describes an ultra-sonic obstacle avoidance system that has been developed by the German company IBP Pietzsch for the ESPRIT II project ANNIE. The second isa description of an investigation, carried out at The Sowerby Research Centre also for the ANNIE project, into the use of a neural system for the localisation a known mobile robot by the appropriate 'fusing' of data obtained from several off-board sensors. The last study describes a VLSI implementation of a localisation and path planning system that has been designed and constructed by the University of Oxford's Robotics Group. Although it is not intended, by presenting these case studies, to portray them as the extent of the state of the art in this field it is, however, hoped that they will give a clear idea of how and why neural networks are being used in this area, and illustrate the potential advantages to be gained from their use in the field of military robotics.
Neural networks for military robots
Neuronale Netze für militärische Roboter
1991
22 Seiten, 16 Bilder
Conference paper
English
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