Abstract: The present disclosure relates generally to a system and methods for reporting an employee schedule, and more particularly to a system and methods for dynamically optimizing and generating employee schedules. The system may analyze a request for an employee schedule including demand data corresponding to proposed duty periods for a specific duration. The demand data is partitioned, optimized and assembled to produce one or more weekly shift configurations. Employees are then assigned to duty periods of the weekly shift configurations and a fitness function is calculated based on one or more constraints and, based on the calculated fitness function, an optimized schedule is generated. Advantageously, the system is configured to automatically output an optimized schedule including a plurality of shifts for a plurality of employees, while minimizing the amount of employer oversight for the scheduling process.

Abstract: The present invention is directed towards a target shooting system with novel function allowing it to incorporate various targets sizes and quantities, as well as different shooting configurations by means of remote triggers.

Abstract: Interactive natural language processing (NLP) results may be generated that allow a user to interact with the NLP results but do so in an offline manner so that the documents being processed need not be stored online. To provide interactive NLP results, event handlers may be attached to elements of the NLP results. A user may then select a word or phrase of the NLP results to cause computer software provided with the NLP to present the interactive features. For example, a user may click on a definite noun phrase to view information for diagnosing antecedent basis errors. For another example, a user may click on a word to view information about how that word is used in a document, such as viewing portions of the document that include the word or variants of the word.

Abstract: The system and method combine a large population of varying density pieces into sets that meet a specified target weight range. This is accomplished by creating a sample size of a pre-weighed payload of varying density pieces (“pieces”) for an automated system to determine optimal combinations sets based on piece weight data. The system combines pieces into the sets within a fixed weight tolerance. Significant hurdles overcome with this approach include avoiding damage to the fragile pieces, accurate measuring very low weights. All of this is achieved at extremely high speed and precision.

Abstract: A system and method for controlling animated characters. The system involves an animated character mapping perception into a number of domains, including a world domain, linguistic domain and social domain. The system is computationally perceived items that should be abstracted from the character's environment for processing. The animated character is able to utilize different levels of information gathering or learning, different levels of decision making, and different levels of dynamic responses to provide life-like interactions.

Abstract: The present invention provides a system for controlling the behavior of a social robotic character. The system comprises a scene planner module. The scene planner module is configured to assemble a scene specification record comprising one or more behavior records. A scene execution module is configured to receive the scene specification record and to process the scene specification record to generate an output. A character interaction module is configured to receive the output and from the output cause the social robotic character to perform one or more behaviors specified by the one or more behavior records. The social robotic character may be embodied as a physical robot or a virtual robot.