Abstract: A gripping tool, usable on a manipulator device for picking up and handling items includes a support frame extending along a first axis, provided with an attachment element for connecting to the manipulator device; and a plurality of gripping devices distributed in assemblies. Each assembly is carried by a respective auxiliary frame connected to the support frame by means of respective connecting members configured to be able to adjust the auxiliary frames and the gripping devices in position with respect to the support frame.

Abstract: A gripping tool, usable on a manipulator device for picking up and handling items includes a support frame extending along a first axis, provided with an attachment element for connecting to the manipulator device; and a plurality of gripping devices distributed in assemblies. Each assembly is carried by a respective auxiliary frame connected to the support frame by means of respective connecting members configured to be able to adjust the auxiliary frames and the gripping devices in position with respect to the support frame.

Abstract: Described herein is a sensorized glove, in particular designed for ergonomic analysis, including an inner glove, which comprises a plurality of extensometer sensors configured for detecting relative movements between parts of a worker's hand; and an outer glove, which comprises a plurality of pressure sensors distributed over a palmar surface and configured for detecting the pressure exerted in corresponding areas of said palmar surface. Moreover described is a corresponding method for determining the type of grasp exerted by a worker.

Abstract: A method for performing a noise removal operation includes decomposing an acquired signal considered as one dimensional series. A trajectory matrix is constructed, transforming the trajectory matrix in a form to which single value decomposition is applicable. A single value decomposition is done on the transformed matrix computing eigenvalues and eigenvectors of the matrix. A one dimensional series is reconstructed, corresponding to the denoised signal. After the single value decomposition operation is provided, a single value decomposition is applied sequentially starting from a given window value. For each iteration, the root mean square value is calculated between a current and previous eigenvalue, calculating a minimum and its position of said root mean square value. The iterations are halted if the minimum is lower than a determined threshold value, otherwise increasing the window value and returning to the operation of decomposition of the acquired signal.

Abstract: Described herein is a system and method for ergonomic analysis including a sensorized glove having an inner glove including a plurality of extensometer sensors for detecting relative movements between parts of a worker's hand, and an outer glove including a plurality of pressure sensors distributed over a palmar surface and for detecting pressure exerted in corresponding areas of said palmar surface; a wearable network of sensors being located in the network so that they can be associated to corresponding joints of the human body; a unit for generating a sequence of images of a worker task; and a processing unit for receiving data and/or signals from the sensorized glove, from the wearable sensor network, and/or from the unit, and configured for processing said data and/or signals to estimate ergonomic indicators and/or to obtain local information of effort and/or posture.

Abstract: Described herein is a sensorized glove, in particular designed for ergonomic analysis, including an inner glove, which comprises a plurality of extensometer sensors configured for detecting relative movements between parts of a worker's hand; and an outer glove, which comprises a plurality of pressure sensors distributed over a palmar surface and configured for detecting the pressure exerted in corresponding areas of said palmar surface. Moreover described is a corresponding method for determining the type of grasp exerted by a worker.

Abstract: Described herein is a system and method for ergonomic analysis including a sensorized glove having an inner glove including a plurality of extensometer sensors for detecting relative movements between parts of a worker's hand, and an outer glove including a plurality of pressure sensors distributed over a palmar surface and for detecting pressure exerted in corresponding areas of said palmar surface; a wearable network of sensors being located in the network so that they can be associated to corresponding joints of the human body; a unit for generating a sequence of images of a worker task; and a processing unit for receiving data and/or signals from the sensorized glove, from the wearable sensor network, and/or from the unit, and configured for processing said data and/or signals to estimate ergonomic indicators and/or to obtain local information of effort and/or posture.

Abstract: A method for performing a noise removal operation includes decomposing an acquired signal considered as one dimensional series. A trajectory matrix is constructed, transforming the trajectory matrix in a form to which single value decomposition is applicable. A single value decomposition is done on the transformed matrix computing eigenvalues and eigenvectors of the matrix. A one dimensional series is reconstructed, corresponding to the denoised signal. After the single value decomposition operation is provided, a single value decomposition is applied sequentially starting from a given window value. For each iteration, the root mean square value is calculated between a current and previous eigenvalue, calculating a minimum and its position of said root mean square value. The iterations are halted if the minimum is lower than a determined threshold value, otherwise increasing the window value and returning to the operation of decomposition of the acquired signal.

Abstract: A module for monitoring industrial processes for use in a system for monitoring industrial processes that comprises sensor means (7; 17) for detecting process quantities in a process station (20), acquisition means (8, 32; 32?; 32?) for acquiring measurement signals (R) issued by said sensor means (7; 17), processing means (9; 19) operating on signals (T; T1) generated by said acquisition means (8, 32; 32?; 32?) to obtain information on the quality of the process, and means for managing the production flow (9; 19), which operate on the basis of said information on the quality of the process and are located in a workstation (50) that is remote with respect to said process station, said monitoring module (30) being configured for being set locally at said at least one process station (20) for receiving measurement signals (R) issued by said sensor means (7; 17).

Abstract: A method for monitoring the quality of an industrial working process, which includes identifying defects of the working process, comprises acquiring at least one signal having multiple frequency components from the industrial working process, decomposing the at least one signal having multiple frequency components in signals having single frequency components, calculating the information content for each signal having a single frequency component, analyzing the information content for each signal having a single frequency component, and if the value of the information content of the signal at the lowest single frequency component does not represent a main percentage of the information content of the whole acquired signal, the acquired signal having multiple frequency components is evaluated as indicative of a working process with defects and a defect analysis step is performed on the signal having multiple frequency components.

Abstract: A system and a method for monitoring painting quality of components, for example of motor-vehicle bodies, comprises a robot which moves a monitoring head to follow the components to be monitored while they move along a production line. The monitoring head moves with respect to the surface to be monitored and comprises both a source of light and a camera which receives the light emitted by the source of light which is reflected by the monitored surface. An electronic processing unit receives the signals coming from the camera and processes them according to different processing algorithms for detecting various categories of defects, specifically small defects, medium defects, and large defects.

Abstract: Described herein is a method for controlling the quality of a laser-welding process, for example, of laser welds of semifinished products constituted by elements of sheet metal of different thickness and/or properties (“tailored blanks”), of the type that comprises the steps of: detecting a radiation (E*) produced in the welding area and issuing signals (E*) indicating said radiation; acquiring and processing said signals (E*) indicating said radiation; making a division into blocks of said signals (E*) indicating said radiation; calculating for each block a block-mean value (u) and a value of block standard deviation (o); and in supplying input values comprising block-mean values (?) and values standard deviation (o) for identifying defects and/or porosities and insufficient penetration.

Abstract: A method for monitoring the quality of the primer layer applied to the body of a motor vehicle prior to painting (enamelling) envisages provision of at least one manipulator robot carrying a monitoring head. The monitoring head includes a light source constituted by an array of LED sources and a videocamera that are held in a position fixed with respect to one another while they are displaced with respect to the surface to be monitored following the profile of said surface. The signals at output from the videocamera are processed by dividing the area monitored into an array of sub-areas and executing the same processing procedure simultaneously on all the sub-areas.

Abstract: A system and a method for controlling the quality of an industrial process, of the type that comprises the steps of: providing one or more reference signals for the industrial process; acquiring one or more real signals that are indicative of the quality of said industrial process; and comparing said one or more reference signals with said one or more real signals in order to identify defects in said industrial process.

Abstract: A method for monitoring the quality of the primer layer applied to the body of a motor vehicle prior to painting (enamelling) envisages provision of at least one manipulator robot carrying a monitoring head. The monitoring head includes a light source constituted by an array of LED sources and a videocamera that are held in a position fixed with respect to one another whilst they are displaced with respect to the surface to be monitored following the profile of said surface. The signals at output from the videocamera are processed by dividing the area monitored into an array of sub-areas and executing the same processing procedure simultaneously on all the sub-areas.

Abstract: Described herein is a method for controlling the quality of a laser-welding process, for example, of laser welds of semifinished products constituted by elements of sheet metal of different thickness and/or properties (“tailored blanks”), of the type that comprises the steps of: detecting a radiation (E*) produced in the welding area and issuing signals (E*) indicating said radiation; acquiring and processing said signals (E*) indicating said radiation; making a division into blocks of said signals (E*) indicating said radiation; calculating for each block a block-mean value (u) and a value of block standard deviation (o); and in supplying input values comprising block-mean values (u) and values standard deviation (o) for identifying defects and/or porosities and insufficient penetration.

Abstract: A module for monitoring industrial processes for use in a system for monitoring industrial processes that comprises sensor means (7; 17) for detecting process quantities in a process station (20), acquisition means (8, 32; 32?; 32?) for acquiring measurement signals (R) issued by said sensor means (7; 17), processing means (9; 19) operating on signals (T; T1) generated by said acquisition means (8, 32; 32?; 32?) to obtain information on the quality of the process, and means for managing the production flow (9; 19), which operate on the basis of said information on the quality of the process and are located in a workstation (50) that is remote with respect to said process station, said monitoring module (30) being configured for being set locally at said at least one process station (20) for receiving measurement signals (R) issued by said sensor means (7; 17).

Abstract: A system and a method for monitoring painting quality of components, for example of motor-vehicle bodies, comprises a robot which moves a monitoring head to follow the components to be monitored while they move along a production line. The monitoring head moves with respect to the surface to be monitored and comprises both a source of light and a camera which receives the light emitted by the source of light which is reflected by the monitored surface. An electronic processing unit receives the signals coming from the camera and processes them according to different processing algorithms for detecting various categories of defects, specifically small defects, medium defects, and large defects.

Abstract: Described herein is a method for controlling the quality of a laser-welding process, for example of laser welds of semifinished products constituted by elements of sheet metal of different thickness and/or properties (“tailored blanks”), of the type that comprises the steps of: detecting a radiation (E*) produced in the welding area (2, 3) and issuing signals (E*) indicating said radiation; acquiring and processing said signals (E*) indicating said radiation; making a division into blocks of said signals (E*) indicating said radiation; calculating (205) for each block a block-mean value (u) and a value of block standard deviation (o); and in supplying input values comprising block-mean values (u) and values standard deviation (o) for identifying defects and/or porosities and insufficient penetration.

Abstract: A system and a method for controlling the quality of an industrial process, of the type that comprises the steps of: providing one or more reference signals for the industrial process; acquiring one or more real signals that are indicative of the quality of said industrial process; and comparing said one or more reference signals with said one or more real signals in order to identify defects in said industrial process.