Abstract: A fusible toy bead includes a plurality of protrusions and a plurality of recesses.

Abstract: The present invention relates to a fusible toy bead containing a pigment as a colorant and a water-soluble resin, in which the pigment contains a gold or silver pigment.

Abstract: The present invention relates to a creamy substance, which is configured to be discharged from a squeezing tool to produce a decorative body-formed toy, and contains a resin and a starch and has transparency.

Abstract: To determine diverting availability of a trained recognition model of another object to a target object. A system includes one or more processors and one or more storage devices. The one or more storage devices store an image time series including a target object, and a trained object recognition model for one or more objects which are different from the target object. The one or more processors acquire a movement trajectory of the target object from a recognition result of the target object in the image time series by the object recognition model, and determine diverting availability of the object recognition model to the target object based on the movement trajectory of the target object.

Abstract: A model creation apparatus being configured to: hold at least one image of the registration target object in one or more postures and a reference model indicating a shape of a reference object; acquire information indicating a feature of the registration target object in a first posture; and correct, when a shape in the first posture that is indicated by the reference model is determined to be dissimilar based on a predetermined first condition, the reference model based on the information indicating the feature to thereby create the model indicating the shape of the registration target object.

Abstract: A machine learning system includes a first determination model that determines whether an input image is a second domain image, and a second determination model that determines whether an extracted image obtained by extracting an area where an object is presented from the input image is from the second domain image. Either a pseudo second domain image or the second domain image is selected and input into the first determination model, and either a first extracted image in the pseudo second domain image or a second extracted image in the second domain image is selected and input into an image extracting unit. Learning of the first determination model is performed based on a first determination result, learning of the second determination model is performed based on a second determination result, and learning of a pseudo image generative model is performed based on the first and second determination results.

Abstract: A fusible toy bead creating apparatus includes: a table including a first surface and a second surface opposite to the first surface and a receiver. The table has a plurality of penetration holes penetrating from the first surface to the second surface to allow fusible toy beads to be placed on the first surface. The receiver includes a receiving surface arranged to face the first surface of the table and configured to receive the fusible toy beads.

Abstract: A fusible toy bead creating apparatus includes: a table including a first surface and a second surface opposite to the first surface and a receiver. The table has a plurality of penetration holes penetrating from the first surface to the second surface to allow fusible toy beads to be placed on the first surface. The receiver includes a receiving surface arranged to face the first surface of the table and configured to receive the fusible toy beads.

Abstract: A robot control system includes a state candidate generation unit that generates a state candidate that is a state transition destination of a robot at next time, a control amount estimation unit that estimates a control amount for transitioning to the state candidate, a state candidate evaluation unit that calculates a distance between the target state of the robot and the state candidate, calculates a coincidence degree between (i) a state at next time estimated from a state at current time of the robot and the control amount and (ii) the state candidate, and sets a sum of the distance and the coincidence degree to be an evaluation value, and a selection unit that selects a state candidate with a minimum evaluation value from state candidates and generate a motion corresponding to the selected state candidate.

Abstract: To determine diverting availability of a trained recognition model of another object to a target object. A system includes one or more processors and one or more storage devices. The one or more storage devices store an image time series including a target object, and a trained object recognition model for one or more objects which are different from the target object. The one or more processors acquire a movement trajectory of the target object from a recognition result of the target object in the image time series by the object recognition model, and determine diverting availability of the object recognition model to the target object based on the movement trajectory of the target object.

Abstract: An information processing apparatus obtains a plurality of combinations of a position of a work target candidate and a transport machine optimum control parameter which is a control parameter of the transport machine that maximizes performance of the work on a work target when the work target candidate is set as the work target, based on a captured image obtained by capturing an area including a plurality of the work target candidates transported by the transport machine, determines the work target from among the work target candidates based on the combinations, controls the transport machine based on the transport machine optimum control parameter of the determined work target, generates a control plan of the robot based on a position of the determined work target and the transport machine optimum control parameter of the work target and controls the robot according to the generated control plan.