The objective of the present invention is to acquire maintenance information easily when an alarm is generated. This control device for controlling an industrial machine is provided with: a monitoring unit which monitors the industrial machine to detect an abnormality in the industrial machine; an information acquiring unit which acquires alarm information relating to an alarm pertaining to the abnormality detected by the monitoring unit, and maintenance information relating to maintenance for dealing with the abnormality; and a display control unit which causes the acquired alarm information and maintenance information to be displayed on a display device.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

An automatic robotic arm system and a coordinating method for robotic arm and computer vision thereof are disclosed. A beam-splitting mirror splits an incident light into a visible light and a ranging light and respectively guides to an image capturing device and an optical ranging device arranged in the different reference axes. In a calibration mode, a transformation relation is computed based on a plurality of the calibration postures and corresponding calibration images. In an operation mode, a mechanical space coordinate is determined based on an operation image and the transformation relation, and the robotic arm is controlled to move based on the mechanical space coordinate.

A task execution method and apparatus for robots capable of freely constructing a network, and a storage medium are provided. The method includes: partitioning, by a server, an entire region of a warehouse to obtain local region(s) corresponding to the partitioned warehouse (S10); receiving capability feature information reported by each robot moving freely within a current warehouse range after the robot comes online (S20); determining, according to the capability feature information reported by the robot, a local center robot, and assigning corresponding to-be-executed task(s) to the local region obtained via the partitioning, such that robot(s) freely constructing a local network execute the to-be-executed task(s) (S30); and after the robot(s) have completed the to-be-executed task(s), receiving task completion information reported by a robot, and releasing the robot to be a free moving robot (S40).

A technique for providing reliable control of a robot (304) in a cloud robotics system (300) is disclosed. A computing unit configured to execute a concealment component (100) for concealing delayed or lost commands sent to the robot (304) by a robot controller (302) in the cloud robotics system (300) comprises at least one processor and at least one memory, wherein the at least one memory contains instructions executable by the at least one processor such that the concealment component (100) is operable to detect a missing command expected to be received by the robot (304) from the robot controller (302), the missing command detected based on a delay or loss of the command in a communication path between the robot (304) and the robot controller (302), generate a substitutional command corresponding to an expected instruction of the missing command, and send the substitutional command to the robot (304).

In an example embodiment, a novel “process assembly line” solution is provided that organizes software robots in a manner that, once configured, allows them to be duplicated and cloned into multiple scenarios, including in organizational structures where one software robot is triggered or called by another software robot. Instead of designing software robots with multiple functionalities in each to perform complex situations, the process assembly line can utilize software robots with single functions. This aids developers in building robust software robots and reduces potential errors.

A coping work display method according to an aspect of the present disclosure is a coping work display method for displaying coping work executed when an abnormality occurs in a robot, the coping work display method including a first step of detecting the abnormality that occurs in the robot, a second step of acquiring, from a storing section storing abnormality information indicating the abnormality that occurs in the robot and a plurality of kinds of coping work information indicating coping work for eliminating the abnormality of the robot related to the abnormality information, the plurality of kinds of coping work information related to the abnormality detected in the first step, and a third step of displaying the plurality of kinds of coping work information acquired in the second step.

A determination device includes: a memory; and a processor coupled to the memory and configured to: obtain sensor data on motion of a device from a plurality of sensors, extract, from the sensor data, data related to an anomaly based on a threshold value used in detecting the anomaly with use of the sensor data, convert the data related to the anomaly into structural data having a graph structure focusing on an analogous relationship between or among the plurality of sensors, and generate a classifier that identifies a cause of the anomaly with use of the structural data.

A method for controlling a robot device using a portable terminal including a touchscreen is provided. The method includes displaying an enable button in a first area of the touchscreen, displaying an emergency stop button in a second area of the touchscreen, displaying a plurality of robot control buttons in a third area of the touchscreen, in response to simultaneously receiving from a user an input on the first area and an input on the third area, transmitting a robot control signal to a control device configured to control the robot device, and in response to receiving an input from the user on the second area, transmitting an emergency signal to the control device.

A failure diagnosing device diagnoses failure of a plurality of reduction gears of a mechanical apparatus which includes a plurality of operation parts, a plurality of motors, and the plurality of reduction gears. The failure diagnosing device includes an acceleration/deceleration period identifying module configured to identify an acceleration/deceleration period of operation of one of the plurality of operation parts, a motor current processing module configured to acquire a peak value of an amplitude of a frequency component of motor current in a specific frequency band of one motor that drives the one operation part, in the acceleration/deceleration period, and a determining module configured to determine whether a sign of failure exists in one of the reduction gears.