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The design concept and development status of an autonomous kiwifruit-picking robot is presented. The robot has an intelligent vision system that ensures that only ldquogoodrdquo fruit is picked. The robot receives instruction by radio link and operates autonomously as it navigates through the orchard, picking fruit, unloading full bins of fruit, fetching empty bins and protecting the picked fruit...
Object recognition from machine vision is a complex task that has, to date, no formal method of solution. The use of brightness contours instead of edges and the corresponding contour profile diagram, or fingerprint, can provide mathematically non-intensive comparisons that can be efficiently performed in a database. More than that, this method provides a formalism which claims to be appropriate for...
A simple method for lens calibration is presented. The method uses a fiducial disc and straightedge which are placed imprecisely within the field of view. Several inexpensive 6mm lenses and CCD cameras were used to validate the method. It is fast and accurate to a variance of less than half a pixel, which makes it a useful tool for computer vision.
The use of grey-scale contours, and fingerprints derived from this, has recently been used to analyse images for object recognition. The processing of these data can take a number of different forms. This paper describes a method for using characteristic aspects of the fingerprint, and geometrical relationships between them, to reduce an image to a set of simple geometric features. These features...
This paper reviews the field of artificial intelligence focusing on embodied artificial intelligence. It also considers models of artificial consciousness, agent-based artificial intelligence and the philosophical commentary on artificial intelligence. It concludes that there is almost no consensus nor formalism in the field and that the achievements of the field are meager.
A method is presented to construct an embodied artificial intelligence. The method grows out of a system for object recognition in artificial vision and relies upon such a capability. Examples from the biosphere are extensively discussed in coming to the method which has, as its central tenet, that all intelligence is fundamentally related to objects. All the aspects needed by an embodied intelligence...
Object recognition from machine vision is a complex task that can involve the comparison of image data with hundreds of thousands of templates. The use of brightness contours instead of edges and the corresponding contour profile diagram, or fingerprint, can provide mathematically non-intensive comparisons that can be efficiently performed in a database. This, the second of two papers, deals with...
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