Disclosed is a machining system wherein provisions are made to be able to remove machining chips reliably without requiring human intervention. The machining system includes: an image processing unit which detects the position and amount of machining chips by comparing images captured of a workpiece and a machining tool before and after execution of a machining step; a condition judging unit which, based on the detected amount of machining chips, determines whether or not there is a need to execute a removal step; and a result judging unit which judges the result of the removal step by comparing the images captured of the workpiece W and the machining tool before and after the execution of the removal step.

A control apparatus, comprising: an image obtaining unit configured to obtain an image in which a control target that a robot controls and a target position to which the control target is to be moved are imaged by an imaging apparatus that is attached to the robot; an axial direction obtainment unit configured to obtain an axial direction of a rotational axis of the control target; a target position detection unit configured to detect the target position in the image; an operation generation unit configured to generate an operation for the control target so that the target position is present in the axial direction and to further generate an operation by which the control target becomes closer to the target position in the axial direction; and a control unit configured to control the control target in accordance with the operation.

A robot system including: a robot with one or more movable elements respectively rotatable about one or more rotation axes; a control device that controls the robot; and a visual sensor attached to any of the movable elements of the robot, where the control device uses any of the movable elements of the robot as a subject element, compares a position of a predetermined target in a first image at an arbitrary first orientation of the robot at which the target fixed at a predetermined position is disposed inside a field of view of the visual sensor, and the position of the predetermined target in a second image at a second orientation at which the subject element is rotated about a rotation axis of the subject element with respect to the first orientation, and determines that the visual sensor is attached to the subject element.

A workpiece picking method for picking up workpieces supplied in a randomly placed state onto a supply stage larger than an imaging range corresponding to an angle of view of an imaging section, the workpiece picking method includes: (a) a step of performing picking processing of selecting a workpiece, and causing the picking section to pick up the workpiece; (b) a step of acquiring a remaining number of the workpieces remaining after the picking processing for each region; (c) a step of supplying a new workpiece onto the supply stage and loosening a lump of the workpieces, or performing loosening without supplying the new workpiece, based on the remaining number of the workpieces for each region; and (d) a step of performing the picking processing after the loosening operation in a largest-number region having a largest remaining number of the workpieces for each region acquired after the picking processing.

An overspray-free paint system includes: a paint robot including an overspray-free paint applicator; and a first fixture robot for lifting and orienting a fixture assembly relative to at least one of the paint robot and the overspray-free paint applicator, the fixture assembly configured to hold an object to be painted by the overspray-free paint applicator, the first fixture robot including a first gripper configured to grab a first portion of the fixture assembly, and the first fixture robot configured to lift and orient the fixture assembly via the first gripper.

An information processing apparatus according to an embodiment of the present technology includes a region calculation unit. The region calculation unit calculates, on the basis of operation information regarding an operation performed on a target object and an image of the target object, a hand area when the operation is performed on the target object by using an image generator or a predictor. This enables a high-precision operation. Moreover, a dataset used for the image generator and the predictor can be collected more easily. Therefore, a massive amount of datasets can be built and can be applied to various target objects.

A method, apparatus, system, and computer program product for positions a wire contact. A sequence of images of a wire contact is generated while the wire contact moves from a first position to a second position. The sequence of images is generated by the camera system connected to the end effector and the wire contact is held by the end effector. Edges are detected in the sequence of images to form edge images. Background edges are removed from the edges in the edge images leaving contact edges in the edges for the wire contact to form a contact edge image. The wire contact is identified using the contact edges in the contact edge image. A pose of the wire contact is determined from the wire contact identified in the contact edge image.

A robot system includes a robot, a robot work environment in which the robot works, and a robot controller including circuitry that stores position information indicating a position of each of measured robot postures in the robot work environment, obtains a measured position of each of the measured robot postures based on a detection result obtained by a sensor, and corrects a movement position of the robot based on the measured position.

A workpiece supply system for supplying a workpiece to a target device includes: a robot mount carriage including a manually-moved carriage having a plurality of wheels, a robot mounted on the carriage, and a controller controlling the robot; and a manually-moved workpiece storage carriage having a plurality of wheels and including a workpiece storage storing the workpiece. One of the robot mount carriage and workpiece storage carriage includes one of a pair of associators for associating them with each other, and the other of the robot mount carriage and workpiece storage carriage includes the other of the pair of associators. The pair of associators consists of a camera provided on the robot and an identifier provided on the workpiece storage carriage or consists of an engaged body provided on one of the robot and workpiece storage carriage and an engaging body provided on the other of the robot and workpiece storage carriage.

A trained model includes a class inference model, a first holding mode inference model, and a second holding mode inference model. The class inference model is configured to infer, based on an inference image of a holding target object, a classification result obtained by classifying the holding target object into a predetermined holding category. The first holding mode inference model is configured to infer, based on the classification result and the inference image, a first holding mode for the holding target object. The second holding mode inference model is configured to infer, based on the first holding mode and the inference image, a second holding mode for the holding target object. A trained model generation method includes generating a trained model by performing learning using learning data including a learning image of a learning target object corresponding to a holding target object.