A detection system and detection method for the sensors of a robot. A detection system installs three sensors at the motor side and power output terminal of the robot. A detection unit detects the normal or abnormal state of three sensors to index the abnormal sensor for maintenance, and two normal sensors are selected for keeping the robot safety operation without stop.

A processing system having at least one processor operatively coupled to at least one memory. The processor receives sensor data from the at least one sensor indicating one or more characteristics of the asset. The processor generates, updates, or maintains a digital representation that models the one or more characteristics of the asset. The processor detects a defect of the asset based at least in part on the one or more characteristics. The processor generate an output signal encoding or conveying instructions to provide a recommendation to an operator, to control the at least one robot to address the defect on the asset, or both, based on the defect and the digital representation of the asset.

A machine tool control device according to the present invention includes a feedback counter for obtaining A- and B-phase signals of rectangular waves or sine waves and a one-rotation signal, which are outputted from a sensor for detecting the position or speed of a driven axis or a motor, to calculate a feedback count value that is a count value of the number of feedback pulses generated from the A- and B-phase signals; a feedback count value storage unit for storing an inter-one-rotation-signal feedback count value that is the feedback count value counted between the two sequential one-rotation signals; a reference value storage unit for storing an anomaly determination reference value corresponding to the inter-one-rotation-signal feedback count value; and an anomaly cause determination unit for determining the cause of an anomaly by comparison between the inter-one-rotation-signal feedback count value and the anomaly determination reference value.

A computer implemented method to determine aircraft sensor failure and correct aircraft sensor measurement in an aircraft system is provide. The computer implemented method includes determining, using a physics-based high-fidelity model, a high-fidelity system response over operating conditions during which sensor drift of a sensor of interest can be detected, creating, using an aircraft system controller, a reduced order model (ROM) using the high-fidelity system response, wherein the ROM correlates with the sensor of interest when operating normally, calculating, using the ROM, at least one reduced order sensor value, determining an error value between the reduced order sensor value and a sensor measurement reading from the sensor of interest, and comparing the error value to an error threshold, wherein the sensor of interest has failed when the error value is greater than the error threshold.

To provide an abnormality determination apparatus, a computer readable medium, an abnormality determination system and an abnormality determination method which can simply detect an abnormality of a temperature in a machine tool without incurring cost. An abnormality determination apparatus which determines abnormality of a temperature sensor in a plurality of machine tools, in which the plurality of machine tools is equivalent machine type, is arranged in equivalent environments, are provided with a temperature sensor at equivalent positions, the abnormality determination apparatus including: a temperature data acquisition unit which acquires temperature data outputted by the temperature sensors from each of the plurality of machine tools; a comparison unit which compares the temperature data acquired by the temperature data acquisition unit; and an abnormality determination unit which determines abnormality of the temperature sensor based on a comparison result by the comparison unit.

A system for performing interactions within a physical environment including: a robot base that undergoes movement relative to the environment; a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; a first tracking system that measures a robot base position; a second tracking system that measures movement of the robot base; and, a control system that uses a robot base position to at least partially control the robot arm to move the end effector along an end effector path, wherein the control system: determines the robot base position at least in part using signals from the first tracking system; and, in the event of failure of the first tracking system: determines a robot base position using signals from the second tracking system; and, controls the robot arm to move the end effector along the end effector path at a reduced end effector speed.

An exoskeleton comprising a plurality of support structures, and a plurality of joint mechanisms each joint mechanism rotatably coupling at least two of the plurality of support structures. A sensor suite discrepancy detection system can be operable to interrogate the suite of sensors within the exoskeleton, and can comprise a plurality of sensor groups, each associated with a respective joint mechanism, and each comprising a plurality of sensors from a suite of sensors. A controller can be configured to recruit at least one substitute sensor from a first sensor group of based on an identified discrepancy between the sensor output data of at least two sensors within the first sensor group and a target sensor within the first sensor group, and to execute a remedial measure associated with a safety mode of the exoskeleton for safe operation of the exoskeleton.

An exoskeleton operable in a safety mode comprises a plurality of support structures, and at least one joint mechanism rotatably coupling two of the plurality of support structures and a plurality of sensors associated with the at least one joint mechanism. The exoskeleton comprises a controller configured to generate a plurality of command signals according to a plurality of respective control policies, and configured to generate each command signal based on sensor output data from at least one sensor of the plurality of sensors, and configured to control operation of the at least one joint mechanism according to a selected control policy, of the plurality of control policies, based on at least one of an identified discrepancy between at least some of the plurality of command signals or a determination whether each of the plurality of sensors satisfies at least one self-test defined criterion or a comparison criterion between the output signal of two or more sensors of the plurality of sensors, or both of these.

An exoskeleton operable in a safety mode comprises a plurality of support structures, and at least one joint mechanism rotatably coupling two of the plurality of support structures, and a plurality of sensors associated with the at least one joint mechanism. The exoskeleton comprises a controller configured to generate a plurality of command signals according to a plurality of respective control policies, and configured to generate each command signal based on sensor output data from at least one sensor of the plurality of sensors, and configured to control operation of the at least one joint mechanism according to a selected control policy, of the plurality of control policies, based on at least one of an identified discrepancy between at least some of the plurality of command signals or a determination whether each of the plurality of sensors satisfies at least one self-test defined criterion defined criterion or a comparison criterion between the output signal of two or more sensors of the plurality of sensors, or both of these.

An exoskeleton comprising a plurality of support structures, and a plurality of joint mechanisms each joint mechanism rotatably coupling at least two of the plurality of support structures. A sensor suite discrepancy detection system can be operable to interrogate the suite of sensors within the exoskeleton, and can comprise a plurality of sensor groups, each associated with a respective joint mechanism, and each comprising a plurality of sensors from a suite of sensors. A controller can be configured to recruit at least one substitute sensor from a first sensor group of based on an identified discrepancy between the sensor output data of at least two sensors within the first sensor group and a target sensor within the first sensor group, and to execute a remedial measure associated with a safety mode of the exoskeleton for safe operation of the exoskeleton.