Abstract: The specification and drawings present a robotic coating application system and a method for coating at least one part with a robotic coating application system. The robotic coating application system may comprise an enclosure configured to receive at least one part. The robotic coating application system may further comprise at least one robot configured to operate at least partially within the enclosure. The robotic coating application system may also comprise a graphical user interface to display a model of the at least one part and allow a user to select a portion or subportion of the model for application of a coating. The coating may be automatically applied to the at least one part based upon, at least in part, the user-selected portion or subportion.

Abstract: Embodiments included herein are directed towards a robotic system and method. Embodiments may include a transportation mechanism having at least three legs and a computing device configured to receive a plurality of optimization components. Each optimization component may include a plurality of variables and the computing device may be further configured to perform a randomized simulation based upon, at least in part, each of the plurality of optimization components. The computing device may be further configured to provide one or more results of the randomized simulation to the transportation mechanism to enable locomotion via the at least three legs.

Abstract: A method, computer program product, and computer system for configuring a stochastic simulation scenario, wherein the stochastic simulation scenario may include one or more variables without a complete probability distribution. The stochastic simulation scenario may be executed to generate one or more results of the stochastic simulation scenario. At least a portion of the one or more variables without the probability distribution may be optimized using one or more optimization metrics on the one or more results of the stochastic simulation scenario.

Abstract: The specification and drawings present a robotic coating application system and a method for coating at least one part with a robotic coating application system. The robotic coating application system may comprise an enclosure configured to receive at least one part. The robotic coating application system may further comprise at least one robot configured to operate at least partially within the enclosure. The robotic coating application system may also comprise a graphical user interface to display a model of the at least one part and allow a user to select a portion or subportion of the model for application of a coating. The coating may be automatically applied to the at least one part based upon, at least in part, the user-selected portion or subportion.

Abstract: Embodiments included herein are directed towards a robotic system and method. Embodiments may include a transportation mechanism having at least three legs and a computing device configured to receive a plurality of optimization components. Each optimization component may include a plurality of variables and the computing device may be further configured to perform a randomized simulation based upon, at least in part, each of the plurality of optimization components. The computing device may be further configured to provide one or more results of the randomized simulation to the transportation mechanism to enable locomotion via the at least three legs.

Abstract: A method, computer program product, and computer system for configuring a stochastic simulation scenario, wherein the stochastic simulation scenario may include one or more variables, wherein at least a portion of the one or more variables may include agent behavior, and wherein the stochastic simulation scenario may be randomized and digital. The stochastic simulation scenario may be executed to generate one or more results of the stochastic simulation scenario. At least a portion of the one or more variables may be optimized using one or more optimization metrics on the one or more results of the stochastic simulation scenario, wherein at least the portion of the one or more variables may be modified based on game theory.

Abstract: A method, computer program product, and computer system for configuring a stochastic simulation scenario, wherein the stochastic simulation scenario may include one or more variables, wherein at least a portion of the one or more variables may include agent behavior, and wherein the stochastic simulation scenario may be randomized and digital. The stochastic simulation scenario may be executed to generate one or more results of the stochastic simulation scenario. At least a portion of the one or more variables may be optimized using one or more optimization metrics on the one or more results of the stochastic simulation scenario, wherein at least the portion of the one or more variables may be modified based on game theory.

Abstract: A method, computer program product, and computer system for configuring a stochastic simulation scenario, wherein the stochastic simulation scenario may include one or more variables without a complete probability distribution. The stochastic simulation scenario may be executed to generate one or more results of the stochastic simulation scenario. At least a portion of the one or more variables without the probability distribution may be optimized using one or more optimization metrics on the one or more results of the stochastic simulation scenario.