A vibration analyzer includes a sensor that measures a vibration of an end effector supported by a distal end of a robot, a storage unit that stores a vibration calculation model of the robot, and a control unit configured to perform separation processing for separating a vibration to be reduced that is measured by the sensor into vibration data of the robot and vibration data of the end effector by using the vibration calculation model of the robot.

A sensor system for monitoring a motor that drives a machine arrangement via a rotating motor shaft, wherein a machine cycle is given by a periodic movement pattern of the machine arrangement and/or of the motor shaft, comprises an acceleration sensor for detecting an acceleration of the motor; and an electronic control unit that is in signal connection with the acceleration sensor and that is configured to carry out a comparison of the detected acceleration with at least one predefined threshold value for a wear recognition and to consider the machine cycle in the comparison. The electronic control unit is configured to automatically recognize the machine cycle based on a periodically occurring pattern in the time development of the detected acceleration of the motor.

A sensor unit, a control method, and a recording medium are provided for reducing data amount of failure diagnosis data while detecting a failure of a device performing work while moving more reliably. The disclosure includes an output limiting part outputting the failure diagnosis data only for a period in which an absolute value of the acceleration is equal to or less than a predetermined threshold.

A spindle with intelligent auto-detection system may comprise a spindle, a shell configured for covering the spindle, a first conducting ring, a second conducting ring and at least a sensor. The spindle has a connecting section and a working section, and the connecting section is configured for connecting a power unit of a processing machine. Moreover, a tool is secured on the working section, and the sensor is positioned in an inner tube of the spindle. The first conducting ring and the second conducting ring in a recess of the shell are respectively electrically connected to the sensor and an analytical instrument. When the spindle is spinning, the sensor is adapted to measure various data of statuses of the spindle and the processing machine, and the obtained data is configured to be sent to the analytical instrument, thereby achieving monitoring effect.

The disclosed technology provides solutions for improving the operation of construction robotics, such as paving machines. In some aspects, the disclosed technology encompasses a paving machine that includes a first surface profiler configured to scan a surface on which a cart travels, a second surface profiler disposed on an actuating tool, a positional sensor configured to generate positional data representing a position of the cart. The paving machine can also include a processor configured for receiving the positional data from the position sensor, receiving surface profile information from the first surface profiler and the second surface profiler, filtering the surface profile information to remove one or more extraneous motion artifacts, and creating a topographic map of the surface based on the positional data and the surface profile information. Computer-implemented methods and machine-readable media are also provided.

A system includes a robotic manipulator including a serial chain comprising a first joint, a second joint, and a first link. The system further includes a processing unit including one or more processors. The processing unit is configured to receive first link data from a first sensor system located at the first link, generate a first joint state estimate of the first joint based on the first link data, and generate a second joint state estimate of the second joint. The processing unit is further configured to apply a first weight to the first joint state estimate to generate a first weighted joint state estimate, apply a second weight to the second joint state estimate to generate a second weighted joint state estimate, and control the first and second joints based on the first weighted joint state estimate and second weighted joint state estimate.

A system includes a robotic manipulator including a serial chain comprising a first joint, a first link, and a second link. The second link is between the first joint and the first link in the serial chain. The system further includes a processing unit including one or more processors. The processing unit is configured to receive first link data from a first sensor system located at the first link, generate a first joint state estimate of the first joint based on the first link data and a kinematic model of the robotic manipulator, and control the first joint based on the first joint state estimate.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller coupled to a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The enclosure comprises a plurality of components, wherein the processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic. The plurality of components comprises: (a) a robotic arm comprising a stylus affixed thereto; and (b) a platform comprising a device holder affixed thereto, wherein the smart device is inserted into the device holder; and (c) a wireless access point. The processor is further configured to: (a) control the smart device to activate wireless mode; (b) receive wireless signals from the wireless access point using the smart device; (c) retrieve wireless scan results from the smart device; and (d) analyze the wireless scan results.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller coupled to a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The enclosure comprises a plurality of components, wherein the processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic. The plurality of components comprises: (a) a robotic arm comprising a stylus affixed thereto; and (b) a platform comprising a device holder affixed thereto, wherein the smart device is inserted into the device holder; and (c) a wireless access point. The processor is further configured to: (a) control the smart device to activate wireless mode; (b) receive wireless signals from the wireless access point using the smart device; (c) retrieve wireless scan results from the smart device; and (d) analyze the wireless scan results.

A controller of a motor that drives a driven body, the controller includes: a command generating unit that generates a movement command for the motor; an inertia estimating unit that acquires feedback information of the motor and estimates an inertia on the basis of a predetermined estimation equation; a difference computing unit that computes a change in the inertia changed with machining based on the movement command of the command generating unit; and a comparing unit that compares a difference between the estimation results before and after the machining of the driven body estimated by the inertia estimating unit and the change in the inertia computed by the difference computing unit. the estimation equation of the inertia estimating unit is corrected on the basis of a comparison result of the comparing unit so that the difference between the estimation results matches a computation result obtained by the difference computing unit.