Improved techniques for examining a plurality of distinct recordings pertaining to user interactions with one or more software applications, where each recording concerns performing at least one task. The examined recordings can be processed such that the recordings can be organized and/or rendered in a consolidated manner which facilitates user's understanding of higher-level operations being performed by the examined recordings to carry out the associated task. As one embodiment, a robotic process automation system can, for example, operate to: acquire a plurality of recordings, the recordings include a series of user interactions with one or more application programs, the recordings being acquired via the robotic process automation system; identify repeating sequences of user interactions within the recordings; select at least one of the identified repeating sequences that occurs more often; create a first level pattern for the selected at least one of the identified repeating sequences; and associate a descriptive label to the first level pattern created for the selected at least one of the identified repeating sequences.

Improved techniques for examining a plurality of distinct recordings pertaining to user interactions with one or more software applications, where each recording concerns performing at least one task. The examined recordings can be processed such that the recordings can be organized and/or rendered in a consolidated manner which facilitates user's understanding of higher-level operations being performed by the examined recordings to carry out the associated task. Advantageously, the improved techniques enable a robotic process automation (RPA) system to recognize and represent repetitive tasks within multiple recordings as multi-level (e.g., hierarchical) patterns of steps, sub-tasks, or some combination thereof. In doing so, a RPA system can identify and define such patterns within recordings and can also accommodate variants in such patterns. The resulting multi-level representation of the recordings allows users to better understand and visualize what tasks or sub-tasks are being carried out by portions of the recordings.

A fault diagnosis device is configured to diagnose a fault in a light emitting unit that emits light of a color according to an operating state of a robot by individually energizing and lighting a plurality of types of LEDs of different emission colors. The fault diagnosis device includes an energization control unit that controls energization of the LEDs, a voltage detection unit that detects a diagnostic voltage that varies depending on a terminal voltage of the LEDs, and a fault detection unit that detects a fault in the light emitting unit based on a control state of energization by the energization control unit and a detected value of the diagnostic voltage by the voltage detection unit.

A method according to the disclosure configures a processor to predict metal loss in a structure for remediation. The method uses a machine learning model, trained based upon historical data, to predict metal loss over locations of a structure at a time of the prediction. The method identifies from among the predicted locations a high-risk location on the structure in which a magnitude of metal loss indicates potential remediation being needed, dispatches a robotic vehicle to the high-risk location on the structure and inspects the high-risk location using the robotic vehicle to confirm whether the magnitude of metal loss at the location requires remediation. In further methods, remediation is performed. In still further methods, a three-dimensional visualization of the structure is generated with an overlay which depicts predicted metal loss over the sections of the structure.

Systems and methods for determining a location of a robot are provided. A method includes receiving, by a processor, a signal from a deformable sensor including data with respect to a deformation region in a deformable membrane of the deformable sensor resulting from contact with a first object. The data associated with contact with the first object is compared, by the processor, to details associated with contact with the first object to information associated with a plurality of objects stored in a database. The first object is identified, by the processor, as a first identified object of the plurality of objects stored in the database. The first identified object is an object of the plurality of objects stored in the database that is most similar to the first object. The location of the robot is determined, by the processor, based on a location of the first identified object.

A method for reducing vibration of a robot arm includes: a step of mounting at least one inertia actuator and at least one vibration signal capturing unit to a processing end of a robot arm; a step of applying the at least one vibration signal capturing unit to detect a vibration generated at the processing end of the robot arm so as to generate a vibration signal; a step of applying a central processing unit to evaluate the vibration signal and coordinates of the processing end of the robot arm so as to capture at least one set of corresponding control parameters for calculating at least one output force; and, a step of having the inertia actuator to apply the output force to the processing end of the robot arm for counteracting the vibration at the processing end of the robot arm.

A deterioration diagnosis apparatus is for a mechanical apparatus including a power transmission mechanism that transmits power via a gear. The deterioration diagnosis apparatus includes: a storing unit that stores, in advance, a trend of change along with the operation of the mechanical apparatus, in consumption rate of an additive contained in lubricant used for the gear; and a determination unit that determines the period to be taken for the consumption rate of the additive to reach a predetermined value, based on the trend of change in the consumption rate of the additive.

A diagnosis device stores a model used for diagnosing the condition of an industrial machine in a storage unit, acquires data related to the condition of the industrial machine, and based on the acquired data, determines the condition of the industrial machine by using the model stored in the storage unit. Then, in response to detecting that a component of the industrial machine has been replaced based on the acquired data and the data related to the determined condition of the industrial machine, the diagnosis device adapts the model stored in the storage unit to the condition of the industrial machine whose component has been replaced.

A force sensor diagnostic device that diagnoses a force sensor provided in a robot, the force sensor disposed near an installation surface on which the robot is installed and detecting a force and a moment applied to the robot from an outside. The device includes a calculation unit that calculates a theoretical value of the force and a theoretical value of the moment detected by the force sensor, a determination unit that determines whether the force sensor is distorted by comparing an actually measured value of the force and an actually measured value of the moment detected by the force sensor with the theoretical values of the force and the moment, and a notification unit that notifies a determination result from the determination unit.

A workpiece transport apparatus for transporting a workpiece includes: a hand device; a moving device that includes a movable part mounted with the hand device and that includes at least one drive axis configured to operate the movable part; a current measurement section configured to measure a current value of a motor that drives the drive axis; and a workpiece number detection section configured to detect that a number of workpieces held by the hand device is different from an expected number based on a comparison result between the current value measured by the current measurement section when the hand device holds the workpiece, and a predetermined threshold value.