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Program slicing has seen a plethora of applications and variations since its introduction over 35 years ago. The dominant method for computing slices involves significant complex source-code analysis to model the dependencies in the code. A recently introduced alternative, observation-based slicing, sidesteps this complexity by observing the behavior of candidate slices. Observation-based slicing...
An unsolved but important problem in intelligent manufacturing is dynamic pose estimation under complex environmental conditions—tracking an object’s pose and position as it moves in an environment with uncontrolled lighting and background. This is a central task in robotic perception, and a robust, highly accurate solution would be of use in a number of manufacturing applications. To be commercially...
Program slicing has seen a plethora of applications and variations since its introduction over thirty years ago. The dominant method for computing slices involves significant complex source-code analysis to model the dependences in the code. A recently introduced alternative, Observation-Based Slicing (ORBS), sidesteps this complexity by observing the behavior of candidate slices. ORBS has several...
The purpose of this paper is to review existing sensor and sensor network ontologies to understand whether they can be reused as a basis for a manufacturing perception sensor ontology, or if the existing ontologies hold lessons for the development of a new ontology. We develop an initial set of requirements that should apply to a manufacturing perception sensor ontology. These initial requirements...
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