A device to correct a teaching position of a robot includes an orientation change data acquisition section to acquire orientation change data indicating a change amount in an orientation of a workpiece with respect to the robot due to a change of an arrangement, based on first and second position data of the robot, a third position data acquisition section to acquire third position data of the robot when a hand-tip portion is arranged in a predetermined positional relationship with an index in a state where the hand-tip portion is arranged at a second orientation which is corrected by using the orientation change data, and a position change data acquisition section to acquire position change data indicating a change amount in a position of the workpiece with respect to the robot due to the change of the arrangement, based on the first position data and the third position data.

A system for inspecting each workpiece of a plurality of non-identical workpieces includes a controller in control communication with the instruments of the system, and a ruleset corresponding to one or more such non-identical workpieces, the system reconfiguring the inspection instruments to customize part tending operations for each such non-identical workpiece. A method for inspecting each workpiece of a plurality of non-identical workpiece includes providing a controller in control communication with the instruments of the system, and a ruleset corresponding to each such non-identical workpiece, the controller causing reconfiguration of the inspection instruments to customize part tending operations for each such non-identical workpiece.

Illustrative embodiments improve holding of a workpiece in an industrial process by placing the workpiece on or in a workpiece interface of a workholder and, prior to securing the workpiece on or in the workholder, vibrating the workpiece interface to settle the workpiece onto or into the workpiece interface. The act of vibrating the workpiece interface is separate and distinct from an act of securing the workpiece to the workpiece interface, and the vibration from the act of vibrating the workpiece interface is separate and distinct from vibration that may occur incidental to the act of securing the workpiece to the workpiece interface. Some embodiments of a workholder include a vibration actuator distinct from a workpiece interface actuator that opens and closes the workpiece interface. Some embodiments of workpiece interface include a set of one or more tapered guides to guide a workpiece onto the workpiece interface.

Illustrative embodiments provide a method by which artificial intelligence in combination with vision systems or cameras cooperate with a robot to automate a process for inspecting a workpiece. An illustrative method includes providing a set of cameras to image a set of workpieces that are randomly disposed in a storage area. A controller employing a neural network trained to identify workpieces then processes images from the set of cameras to identify each workpiece, and uses workpiece identity to customize the operation of an inspection system.

The present invention relates to an industrial robot process cloud system and a working method thereof. The industrial robot process cloud system comprises an industrial robot control system integrated with a human machine interaction layer HMI, a motion planning control layer Motion and a servo loop control layer Servo, and further comprises a cloud server, wherein the cloud server comprises a process expert system. The human machine interaction layer HMI and the motion planning control layer Motion realize data interaction with the cloud server by means of a network, after the human machine interaction layer HMI inputs operation information, the operation information is transmitted to the cloud server, and a specific robot operation program is generated and downloaded into the industrial robot control system by means of the network. The present invention realizes cloud processing performed to process experiences on various operation types of industrial robots, the process expert system is formed, data interaction and real-time evolution learning of the process expert system are realized by means of the network, the user can conveniently call in real time the robot process program which best satisfies actual requirements and the changeover production efficiency is improved.

A system for inspecting each workpiece of a plurality of non-identical workpieces includes a controller in control communication with the instruments of the system, and a ruleset corresponding to one or more such non-identical workpieces, the system reconfiguring the inspection instruments to customize part tending operations for each such non-identical workpiece. A method for inspecting each workpiece of a plurality of non-identical workpiece includes providing a controller in control communication with the instruments of the system, and a ruleset corresponding to each such non-identical workpiece, the controller causing reconfiguration of the inspection instruments to customize part tending operations for each such non-identical workpiece.

The present invention relates to an industrial robot process cloud system and a working method thereof. The industrial robot process cloud system comprises an industrial robot control system integrated with a human machine interaction layer HMI, a motion planning control layer Motion and a servo loop control layer Servo, and further comprises a cloud server, wherein the cloud server comprises a process expert system. The human machine interaction layer HMI and the motion planning control layer Motion realize data interaction with the cloud server by means of a network, after the human machine interaction layer HMI inputs operation information, the operation information is transmitted to the cloud server, and a specific robot operation program is generated and downloaded into the industrial robot control system by means of the network. The present invention realizes cloud processing performed to process experiences on various operation types of industrial robots, the process expert system is formed, data interaction and real-time evolution learning of the process expert system are realized by means of the network, the user can conveniently call in real time the robot process program which best satisfies actual requirements and the changeover production efficiency is improved.

A system for inspecting each workpiece of a plurality of non-identical workpieces includes a controller in control communication with the instruments of the system, and a ruleset corresponding to one or more such non-identical workpieces, the system reconfiguring the inspection instruments to customize part tending operations for each such non-identical workpiece. A method for inspecting each workpiece of a plurality of non-identical workpiece includes providing a controller in control communication with the instruments of the system, and a ruleset corresponding to each such non-identical workpiece, the controller causing reconfiguration of the inspection instruments to customize part tending operations for each such non-identical workpiece.

A device to correct a teaching position of a robot includes an orientation change data acquisition section to acquire orientation change data indicating a change amount in an orientation of a workpiece with respect to the robot due to a change of an arrangement, based on first and second position data of the robot, a third position data acquisition section to acquire third position data of the robot when a hand-tip portion is arranged in a predetermined positional relationship with an index in a state where the hand-tip portion is arranged at a second orientation which is corrected by using the orientation change data, and a position change data acquisition section to acquire position change data indicating a change amount in a position of the workpiece with respect to the robot due to the change of the arrangement, based on the first position data and the third position data.

A system for inspecting each workpiece of a plurality of non-identical workpieces, each workpiece having a distinct workholding specification. The system includes a workholder configured to autonomously execute a plurality of workholding operations pursuant to parameters of a specified pre-defined workholding mode specified from a plurality of distinct, pre-defined workholding modes. Each pre-defined workholding mode specifies a plurality of holding parameters corresponding to the holding specification of a corresponding workpiece.