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      Path Planning for Non-Circular, Non-Holonomic Robots in Highly Cluttered Environments

      Sensors
      MDPI

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          Real-Time Obstacle Avoidance for Manipulators and Mobile Robots

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            Image analysis using mathematical morphology.

            For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape. The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations. Examples are given for each morphological concept and explanations are given for many of their interrelationships.
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              An algorithm for planning collision-free paths among polyhedral obstacles

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                Author and article information

                Journal
                10.3390/s17081876
                https://creativecommons.org/licenses/by/4.0/

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