A shock-absorbing unit may include a reinforcement part made of a composite material, which has a panel shape, two opposing end portions of which are connected to the inner panel to divide the inner space into a separation space adjacent to the outer panel and a partition space adjacent to the inner panel, and which has a coupling protrusion protruding from the inner surface thereof toward the inner panel, and a shock-absorbing part made of a composite material, which has a coupling recess formed in one side thereof to receive the coupling protrusion so as to be connected to the reinforcement part in the partition space, and the opposite side of which is connected to the inner surface of the inner panel and is supported by the inner panel.

A shock-absorbing unit may include a reinforcement part made of a composite material, which has a panel shape, two opposing end portions of which are connected to the inner panel to divide the inner space into a separation space adjacent to the outer panel and a partition space adjacent to the inner panel, and which has a coupling protrusion protruding from the inner surface thereof toward the inner panel, and a shock-absorbing part made of a composite material, which has a coupling recess formed in one side thereof to receive the coupling protrusion so as to be connected to the reinforcement part in the partition space, and the opposite side of which is connected to the inner surface of the inner panel and is supported by the inner panel.

A robot system includes at least one robot, a first sensor, at least one second sensor, and circuitry. The at least one robot is to work on a workpiece. The first sensor is to detect a three-dimensional shape of the workpiece. The at least one second sensor is to detect a three-dimensional position of the workpiece. The circuitry is configured to control the at least one robot based on teaching data. The circuitry is configured to correct the teaching data according to the three-dimensional shape detected by the first sensor. The circuitry is configured to correct the teaching data according to the three-dimensional position detected by the at least one second sensor.

A robot system includes at least one robot, a first sensor, at least one second sensor, and circuitry. The at least one robot is to work on a workpiece. The first sensor is to detect a three-dimensional shape of the workpiece. The at least one second sensor is to detect a three-dimensional position of the workpiece. The circuitry is configured to control the at least one robot based on teaching data. The circuitry is configured to correct the teaching data according to the three-dimensional shape detected by the first sensor. The circuitry is configured to correct the teaching data according to the three-dimensional position detected by the at least one second sensor.

A technique for enabling efficient retrieval of a digital representation of personality data of a user (402) by a client device (406) from a server (404) is disclosed, wherein the digital representation of the personality data is processed at the client device (406) to provide a user-adapted service to the user (402). A method implementation of the technique is performed by the server (404) and comprises storing a neural network being trained to compute personality data of a user based on input obtained from the user (402), receiving, from the client device (406), a request for a digital representation of personality data for a user (402), and sending, to the client device (406), the requested digital representation of the personality data of the user (402), wherein the personality data of the user is computed using the neural network based on input obtained from the user (402).

A technique for enabling efficient retrieval of a digital representation of personality data of a user (402) by a client device (406) from a server (404) is disclosed, wherein the digital representation of the personality data is processed at the client device (406) to provide a user-adapted service to the user (402). A method implementation of the technique is performed by the server (404) and comprises storing a neural network being trained to compute personality data of a user based on input obtained from the user (402), receiving, from the client device (406), a request for a digital representation of personality data for a user (402), and sending, to the client device (406), the requested digital representation of the personality data of the user (402), wherein the personality data of the user is computed using the neural network based on input obtained from the user (402).

A vibration and noise reduction analysis device for a panel part of an automobile is configured to reduce vibration and noise of the panel part caused by vibration from a vibration source and a noise source in the automobile and identify a portion at which a weight of an automotive body of the automobile can be reduced. The vibration and noise reduction analysis device includes: an automotive body model acquisition unit; a sectioned region setting unit; a vibration and noise reduction target panel part model setting unit; a vibration mode/equivalent radiation power peak frequency selection unit; a sectioned region weight change peak frequency acquisition unit; a sectioned region weight contribution degree calculation unit; and a vibration and noise reduction and weight reduction portion identification unit.

A method for joining a drivetrain to a vehicle body, includes the steps of: transferring the drivetrain and the vehicle body into a joining position, arranging an electrical connecting element on a chassis part of the drivetrain, and joining the drivetrain to the vehicle body, wherein the drivetrain and the vehicle body are connected together at predetermined points via fasteners.

A method for joining a drivetrain to a vehicle body, includes the steps of: transferring the drivetrain and the vehicle body into a joining position, arranging an electrical connecting element on a chassis part of the drivetrain, and joining the drivetrain to the vehicle body, wherein the drivetrain and the vehicle body are connected together at predetermined points via fasteners.

According to some illustrative embodiments, a novel vehicle bed support or stiffener is provided. In the preferred embodiments, the vehicle bed support or stiffener is uniquely configured such that the structure does not obstruct or encroach the vehicle bed region of a vehicle. In some preferred embodiments, the vehicle bed support or stiffener is fixed to a vehicle bed with an upwardly extending front support and stiffening wall extending laterally along an end of said floor and downwardly below a plane of the floor and extending laterally along an end of at least one of said left and right side walls and outwardly away from the vehicle bed.