Abstract: Provided are a simulation device, a simulation method, and a computer-readable storage medium, which reduce a computation load required for simulation of movement of an operation subject. This simulation device is provided with: a first setting unit that sets framing conditions for a model representing the operation subject; a second setting unit that sets conditions for external force applied to the operation subject; a first simulation unit that simulates the movement of the operation subject under the framing conditions and the conditions for external force; a generation unit that generates learning data; and a learning unit that, by supervised learning using the learning data, generates a learning model that takes the framing conditions, the conditions for external force, and the initial conditions of the plurality of representative points as input and outputs data representing the movement of the plurality of representative points.

Abstract: The disclosure is to constitute, while reducing a cost for collecting training data used in machine learning that makes a control module acquire an ability to control a robot device, the control module operatable in an actual environment by the machine learning. A learning device according to one aspect of the present invention executes machine learning of an extractor by using a first learning data set constituted by a combination of simulation data and first environmental information and a second learning data set constituted by a combination of actual data and second environmental information. Further, a learning device according to one aspect of the present invention executes machine learning of a controller by using a third learning data set constituted by a combination of third environmental information, state information, and a control command.

Abstract: Provided is an interference determination method with which whether or not a robot interferes with a surrounding object on a motion path can be computed. At least one intermediate position is set on a motion path of movement from the first position to the second position, a plurality of robot approximated bodies that are each constituted by combining at least two robot approximated bodies at a plurality of postures corresponding to each position are generated, a second combined approximated body constituted by combining at least two first combined approximated bodies is generated with respect to at least one focused part, and the second combined approximated body interferes with a surrounding object approximated body is determined.

Abstract: The image processing device is provided with: a first input unit which, with respect to one or more virtual models including a virtual model of an operation machine, receives an input of a first parameter for identifying a type; a second input unit which receives an input of a second parameter relating to a stochastic distribution having, as a random variable, a characteristic of an element constituting the one or more virtual models; a virtual model generation unit which, using the first parameter and the second parameter, generates the one or more virtual model stochastically; a determination unit which determines the correctness of an operation of the virtual model of the operation machine when operated in a virtual space including the one or more stochastically generated virtual models; and a learning unit which learns a control module for the operation machine for achieving a predetermined operation.

Abstract: An interference determination method is provided to compute whether or not a robot that operates according to a motion path will interfere with a nearby object. A first orientation, a second orientation, and an intermediate orientation of the robot are set, and a first combined approximated body is generated that is configured by combining a plurality of robot approximated bodies, which are obtained by approximating the shape of the robot in these orientations. If it is determined that the robot will interfere with the nearby object, whether to generate a combined approximated body that is smaller than the first combined approximated body is determined based on the amount indicating the interval between two adjacent robot approximated bodies.

Abstract: A calculation device, a calculation method, and a storage medium are provided. The present invention is provided with: a first calculation unit which, with respect to input data, performs calculations relating to predetermined processing by using a first model in which a corresponding relationship between input data and output data changes by performing machine learning that uses learning data, and outputs a first output; a second calculation unit which, with respect to input data, performs calculations relating to predetermined processing using a second model for which the correspondence relationship between input data and output data is fixed, and outputs a second output; and a comparison unit which, on the basis of a comparison result obtained by comparing the first output and the second output with a prescribed determination standard, outputs the first output, the second output, or a third output that is a combination of the first and second outputs.

Abstract: In a route outputting method using an arithmetic device including an external interface, a storage unit, and an arithmetic unit when a robot having a plurality of movable shafts transports an object W from a first position to a second position, the arithmetic unit executes the steps of: acquiring the first position and the second position using the external interface; acquiring transport conditions when the robot transports the object W from the first position to the second position; generating a route for the robot to transport the object W from the first position to the second position, the transport conditions being satisfied along the entire route; and outputting the generated route using the external interface.

Abstract: A robot control apparatus includes a workpiece orientation calculation unit, an arrival prediction unit, a robot orientation calculation unit, and a trajectory data generation unit. The arrival prediction unit obtains a picking prediction position at which a workpiece that is conveyed by a conveyance apparatus may be picked up by a picking apparatus or the like, based on conveyance speed information supplied by the conveyance apparatus or the like and the sensing information supplied by an image acquisition apparatus.

Abstract: A control device assumes that observation light observed by an imaging device is composite light of primary reflection light and secondary reflection light. The control device acquires three or more samples of a brightness amplitude value of the observation light, calculates a phase error caused by the secondary reflection light using these samples, calculates a corrected phase value by correcting a phase value of the observation light using the phase error, and calculates a three-dimensional position of the measurement point on the measurement object based on the corrected phase value.

Abstract: A path planning apparatus is provided with a path planning unit that generates a path of a robot using a plurality of different path planning methods that respectively correspond to a plurality of different constraints determined from the posture of the robot and the characteristics of one or more obstacles that obstruct movement of the robot, an acquisition unit that acquires posture information indicating an initial posture of a robot for which a path is to be generated and a target posture of the robot, and obstacle information indicating a target obstacle that obstructs movement of the robot from the initial posture to the target posture, and a controller that controls the path planning unit so as to generate a path of the robot using a path planning method corresponding to a constraint determined from the posture information and the obstacle information acquired by the acquisition unit.

Abstract: An interference determination method is provided to compute whether or not a robot that operates according to a motion path will interfere with a nearby object. A first orientation, a second orientation, and an intermediate orientation of the robot are set, and a first combined approximated body is generated that is configured by combining a plurality of robot approximated bodies, which are obtained by approximating the shape of the robot in these orientations. If it is determined that the robot will interfere with the nearby object, whether to generate a combined approximated body that is smaller than the first combined approximated body is determined based on the amount indicating the interval between two adjacent robot approximated bodies.

Abstract: Provided is an interference determination method with which whether or not a robot interferes with a surrounding object on a motion path can be computed. At least one intermediate position is set on a motion path of movement from the first position to the second position, a plurality of robot approximated bodies that are each constituted by combining at least two robot approximated bodies at a plurality of postures corresponding to each position are generated, a second combined approximated body constituted by combining at least two first combined approximated bodies is generated with respect to at least one focused part, and the second combined approximated body interferes with a surrounding object approximated body is determined.

Abstract: A robot control apparatus includes a workpiece orientation calculation unit, an arrival prediction unit, a robot orientation calculation unit, and a trajectory data generation unit. The arrival prediction unit obtains a picking prediction position at which a workpiece that is conveyed by a conveyance apparatus may be picked up by a picking apparatus or the like, based on conveyance speed information supplied by the conveyance apparatus or the like and the sensing information supplied by an image acquisition apparatus.

Abstract: A motion generation device may be for generating a movement for changing the robot from a first orientation to a second orientation, and include a first acquisition unit that acquires first orientation information that specifies the first orientation and second orientation information that specifies the second orientation, a second acquisition unit that acquires at least one priority item regarding the movement for changing from the first orientation to the second orientation, and a movement generation unit that generates a motion of the robot that includes a movement path along which the robot moves from the first orientation to the second orientation, based on the first orientation information, the second orientation information, and the priority item that were acquired.