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  • 1
    Electronic Resource
    Electronic Resource
    Bradford : Emerald
    Industrial robot 25 (1998), S. 337-346 
    ISSN: 0143-991X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: This work presents a robot prototype designed and built for a new aided fruit-harvesting strategy in highly unstructured environments, involving human-machine task distribution. The operator drives the robotic harvester and performs the detection of fruits by means of a laser range-finder, the computer performs the precise location of the fruits, computes adequate picking sequences and controls the motion of all the mechanical components (picking arm and gripper-cutter). Throughout this work, the specific design of every module of the robotized fruit harvester is presented. The harvester has been built and laboratory tests with artificial trees were conducted to check range-finder's localization accuracy and dependence on external conditions, harvesting arm's velocity, positioning accuracy and repeatability; and gripper-cutter performance. Results show excellent range-finder and harvesting arm operation, while a bottleneck is detected in gripper-cutter performance. Some figures showing overall performance are given.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Bradford : Emerald
    Industrial robot 22 (1995), S. 21-24 
    ISSN: 0143-991X
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Outlines research work on the control of flexible single-linkrobot arms in which the link is modelled as a beam and the end-pointposition is controlled by measuring that position and using that measurementas a basis for applying a torque to the link joint. A position sensor device[PSD] is used as the measuring device. Describes how themeasurement is taken and explains the measurement circuit and how the linksare analyzed. Concludes that the simplicity of the general configuration ofthe photosensor system and the nature of the direct data obtained allows itto be used in a wide range of applications.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Machine vision and applications 11 (2000), S. 321-329 
    ISSN: 1432-1769
    Keywords: Key words: Laser-scanner – Harvesting – Reflectance – Range
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract. This paper describes a laser-based computer vision system used for automatic fruit recognition. It is based on an infrared laser range-finder sensor that provides range and reflectance images and is designed to detect spherical objects in non-structured environments. Image analysis algorithms integrate both range and reflectance information to generate four characteristic primitives which give evidence of the existence of spherical objects. The output of this vision system includes 3D position, radius and surface reflectivity of each spherical object. It has been applied to the AGRIBOT orange harvesting robot, where it has obtained good fruit detection rates and unlikely false detections.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Journal of biomolecular NMR 15 (1999), S. 15-26 
    ISSN: 1573-5001
    Keywords: artificial neural network ; automated assignment ; BioMagResBank ; chemical shift ; fuzzy logic ; NMR of protein
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Abstract The assignment of the 1H spectrum of a protein or a polypeptide is the prerequisite for advanced NMR studies. We present here an assignment tool based on the artificial neural network technology, which determines the type of the amino acid from the chemical shift values observed in the 1 H spectrum. Two artificial neural networks have been trained and extensively tested against a non-redundant subset of the BMRB chemical shift data bank [Seavey, B.R. et al. (1991) J. Biomol. NMR, 1, 217–236]. The most promising of the two accomplishes the analysis in two steps, grouping related amino acids together. It presents a mean rate of success above 80% on the test set. The second network tested separates down to the single amino acid; it presents a mean rate of success of 63%. This tool has been used to assist the manual assignment of peptides and proteins and can also be used as a block in an automated approach to assignment. The program has been called RESCUE and is made publicly available at the following URL: http://www.infobiosud.univ-montp1.fr/rescue.
    Type of Medium: Electronic Resource
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