Abstract: A learning apparatus includes: an extraction unit that extracts a first false recognition target which is a recognition target in regard to which a probability that a first recognition device falsely recognizes it as a first recognition target from among a plurality of types of recognition targets is equal to or greater than a predetermined percentage; a training data generation unit that generates first training data that includes an image including both the first recognition target and the first false recognition target; and a learning control unit that makes, by using the first training data, a first recognition device learn that the first false recognition target is a recognition target of a type different from that of the first recognition target.

Abstract: An Inter-object relation recognition apparatus includes: a first learning device receiving an image, and outputting a first feature amount of the image; a second learning device receiving the first feature amount, outputting a second feature amount, and having a plurality of storage units holding internal states for predetermined steps; a triplet unit having a plurality of triplet-units, the triplet-units receiving the second feature amount, recognizing first to third elements, and constituted of first to third recognition units outputting probability information. The triplet unit selects at least one combination of the first to third elements, based on the probability information of the first to third elements output from the first to third recognition units of each of the triplet units, from the combinations of the first to third elements output from each of the triplet units, and recognizes and outputs the combination as a relation between objects.

Abstract: Systems, robots, and methods for generating three-dimensional skeleton representations of people are disclosed. A method includes generating, from a two-dimensional image, a two-dimensional skeleton representation of a person present in the two-dimensional image. The two-dimensional skeleton representation includes a plurality of joints and a plurality of links between individual joints of the plurality of joints. The method further includes positioning a cone around one or more links of the plurality of links, and identifying points of a depth cloud that intersect with the cone positioned around the one or more links of the two-dimensional skeleton. The points of the depth cloud are generated by a depth sensor and each point provides depth information. The method also includes projecting the two-dimensional skeleton representation into three-dimensional space using the depth information of the points that intersect with the cone, thereby generating the three-dimensional skeleton representation of the person.

Abstract: An Inter-object relation recognition apparatus includes: a first learning device receiving an image, and outputting a first feature amount of the image; a second learning device receiving the first feature amount, outputting a second feature amount, and having a plurality of storage units holding internal states for predetermined steps; a triplet unit having a plurality of triplet-units, the triplet-units receiving the second feature amount, recognizing first to third elements, and constituted of first to third recognition units outputting probability information. The triplet unit selects at least one combination of the first to third elements, based on the probability information of the first to third elements output from the first to third recognition units of each of the triplet units, from the combinations of the first to third elements output from each of the triplet units, and recognizes and outputs the combination as a relation between objects.

Abstract: Systems, robots, and methods for generating three-dimensional skeleton representations of people are disclosed. A method includes generating, from a two-dimensional image, a two-dimensional skeleton representation of a person present in the two-dimensional image. The two-dimensional skeleton representation includes a plurality of joints and a plurality of links between individual joints of the plurality of joints. The method further includes positioning a cone around one or more links of the plurality of links, and identifying points of a depth cloud that intersect with the cone positioned around the one or more links of the two-dimensional skeleton. The points of the depth cloud are generated by a depth sensor and each point provides depth information. The method also includes projecting the two-dimensional skeleton representation into three-dimensional space using the depth information of the points that intersect with the cone, thereby generating the three-dimensional skeleton representation of the person.

Abstract: A head support rest 29 is provided with machine bodies 21, 25 being movable and drivable in a horizontal direction, being free to go up and down. One or more absorption means aggregates 550 are provided with the head support rest 29, being free to move and position in a horizontal two-dimensional direction through a horizontal direction moving structure 33, 35, 36, 47, 49, 51 and 52. The absorption means aggregate 550 has a plurality of absorption means 55 provided such that absorption portions 57 are adjacent to one another. Absorption driving means 60, 62, 63, 65 are connected with each of absorption means 55. Then, a fine workpiece having complex shape can be also appropriately absorbed and carried.