An appearance inspection system enabling a route to be easily set when a target is imaged while causing a relative position of an imaging device with respect to the target to be different is provided. A decision part decides a plurality of relative position candidates of the imaging device with respect to the target at which focus of a lens module is possible on the inspection target position with regard to each of a plurality of the inspection target positions on the target. A selection part selects relative positions one by one from corresponding plurality of relative position candidates for each of the plurality of inspection target positions and selects a route candidate satisfying a preset requirement from a plurality of route candidates generated by sequentially connecting the plurality of selected relative positions as a designation route.

An appearance inspection system includes a setting part, a movement mechanism, and a control part. The setting part sets a route passing through a plurality of imaging positions in order. The setting part sets the route so that a first time necessary for the movement mechanism to move an imaging device from a first imaging position to a second imaging position among the plurality of imaging positions is longer than a second time necessary for a process of changing a first imaging condition corresponding to the first imaging position to a second imaging condition corresponding to the second imaging position by the control part. The control part starts the process of changing the first imaging condition to the second imaging condition earlier by the second time or more than a scheduled time at which the imaging device arrives at the second imaging position.

To provide an appearance inspection system capable of reduce labor for setting an imaging condition by a designer when a plurality of inspection target positions on a target is sequentially imaged. An appearance inspection system includes an imaging condition decision part and a route decision part. The imaging condition decision part decides a plurality of imaging condition candidates including a relative position between a workpiece and an imaging device for at least one inspection target position among a plurality of inspection target positions. The route decision part decides a change route of an imaging condition for sequentially imaging the plurality of inspection target positions by selecting one imaging condition among the plurality of imaging condition candidates so that a pre-decided requirement is satisfied.

There are provided a system, computer software product and method of generating a training set for a classifier using a processor. The method comprises: receiving a training set comprising training defects each having assigned attribute values, the training defects externally classified into classes comprising first and second major classes and a minor class; training a classifier upon the training set; receiving results of automatic classification of the training defects; automatically identifying a first defect that was externally classified into the first major class and automatically classified into the second major class; automatically identifying by the processor a second defect from the multiplicity of training defects that was externally classified into the minor class and automatically classified to the first or second major classes; and correcting the training set to include the first defect into the second major class, or to include the second defect into the first or the second major class.

According to an aspect of some embodiments of the present invention there is provided a method for generating a dataset mapping visual features of each of a plurality of objects, comprising: for each of a plurality of different objects: instructing a robotic system to move an arm holding a respective the object to a plurality of positions, and when the arm is in each of the plurality of positions: acquiring at least one image depicting the respective object in the position, receiving positional information of the arm in respective the position, analyzing the at least one image to identify at least one visual feature of the object in the respective position, and storing, in a mapping dataset, an association between the at least one visual feature and the positional information, and outputting the mapping dataset.

A robot system includes a robot having a gripping unit for picking and placing down/throwing goods, wherein the goods are differentiated into multiple types with respect to their dimensional stability, compressive stability, flexural rigidity, strength, their absolute weight and/or specific weight. When the goods are manipulated, the robot and/or the gripping unit are controlled depending on the type determined for the goods. Moreover, a method operates the robot system.

There are provided a system, computer software product and method of generating a training set for a classifier using a processor. The method comprises: receiving a training set comprising training defects each having assigned attribute values, the training defects externally classified into classes comprising first and second major classes and a minor class; training a classifier upon the training set; receiving results of automatic classification of the training defects; automatically identifying a first defect that was externally classified into the first major class and automatically classified into the second major class; automatically identifying by the processor a second defect from the multiplicity of training defects that was externally classified into the minor class and automatically classified to the first or second major classes; and correcting the training set to include the first defect into the second major class, or to include the second defect into the first or the second major class.

A robot control device includes a feature-point detecting unit that detects, from an image of an object acquired by a visual sensor, the positions of a plurality of feature points on the object in a predetermined cycle; a position/orientation calculating unit that updates, in the predetermined cycle, respective equations of motion of the plurality of feature points on the basis of the detected positions of the plurality of feature points and that calculates the position or orientation of the object on the basis of the detected positions of the plurality of feature points calculated from the updated equations of motion; and a robot-arm-movement control unit that controls the movement of a robot arm so as to follow the object, on the basis of the calculated position or orientation of the object.

A robot executes sequential works at each work point based on point-based work data. An external instrument attached to the robot executes a main work at each work point in the sequential works. A controller controls the external instrument based on control data including structural point blocks arranged in sequence and bundling the sequential works at each work point. An external instrument driver transforms data format exchanged between the external instrument and the controller. A driver generator generates driver data indicating the detail of transformation of the data format by the external instrument driver. The driver selector selects the driver data to be utilized by the external instrument driver in accordance with the external instrument.

A computer implemented method for updating a scene representation model is disclosed. The method comprises obtaining a scene representation model representing a scene having one or more objects, the scene representation model being configured to predict a value of a physical property of one or more of the objects; obtaining a value of the physical property of at least one of the objects, the obtained value being derived from a physical contact of a robot with the at least one object; and updating the scene representation model based on the obtained value. An apparatus is also disclosed.