SYSTEM FOR ASSISTING AN OPERATOR IN A WORK STATION
20210330540 · 2021-10-28
Assignee
Inventors
Cpc classification
A61H2230/655
HUMAN NECESSITIES
B25J9/0006
PERFORMING OPERATIONS; TRANSPORTING
A61H2230/065
HUMAN NECESSITIES
A61H2201/1659
HUMAN NECESSITIES
A61H2230/085
HUMAN NECESSITIES
A61H3/00
HUMAN NECESSITIES
International classification
Abstract
A system for assisting an operator in a work station includes a collaborative robot, with a robot electronic controller, configured for conducting an operation in an open, non-protected space, adjacent and in cooperation with the operator, an exoskeleton including one or more actuators, wearable by the operator for receiving assistance in conducting one or more operations, a plurality of sensors associable to the body of the operator and configured for detecting at least one parameter. An electronic controller is configured for receiving signals by the sensors and for sending signals to the one or more actuators of the exoskeleton and to the robot controller based on an elaboration of signals received by the sensors, wherein the system controller is configured and programmed for dynamically controlling the exoskeleton and the robot so as to avoid collisions or injuries between the robot and the operator or conditions of lack of safety for the operator, and to enable the robot to cooperate with the operator by assuming positions suitable to the physical and physiological features, to the workload and to the postures of the operator.
Claims
1. System for assisting an operator in a work station, the system comprising: at least one collaborative robot configured for conducting one or more operations in an open, non-protected space, adjacent to an operator and in cooperation with the operator, with a robot electronic controller associated to the at least one collaborative robot, at least one active exoskeleton including one or more electrically operated actuators, wearable by an operator for receiving assistance in conducting one or more operations, a plurality of sensors associable to a body of the operator and configured for detecting at least one parameter selected from a heart rate, a metabolic consumption, a skin conductivity, a surface electromyography, pressure at the interface between the at least one active exoskeleton and the body of the operator, and/or a movement of the operator and relative orientation of the body districts of the operator, at least one system electronic controller configured for receiving signals from said plurality of sensors and for sending signals to said one or more actuators of the at least one active exoskeleton and to said robot electronic controller based on an elaboration of the signals received from said plurality of sensors, wherein the system electronic controller is configured and programmed for dynamically controlling a functioning of said one or more actuators of the at least one active exoskeleton and a functioning of the at least one collaborative robot as a function of the parameters detected by said plurality of sensors so as to avoid collisions or injuries between the collaborative robot and the operator or conditions of lack of safety for the operator, and so as to enable the collaborative robot to cooperate with the operator by assuming positions suited to physical and physiological features, to a workload and to postures of the operator.
2. System according to claim 1, wherein at least some of said sensors (S) are associable to said at least one active exoskeleton so as to be in contact with the body of the operator, with reference to the worn condition of the at least one active exoskeleton.
3. System according to claim 1, wherein at least some of said sensors are associable to a garment intended to be worn by the operator, and wherein the at least one active exoskeleton is worn by the operator over said garment.
4. System according to claim 1, wherein at least some of said sensors are associable directly to the body of the operator.
5. System according claim 2, wherein at least some of said sensors are associable to at least one body district of the operator selected from arms, legs and a torso.
6. System according to claim 1, wherein said at least one active exoskeleton comprises: an upper structure for the engagement of a torso of the operator and a lower structure for the engagement of legs of the operator, said upper structure and lower structure being pivotally connected with each other around an axis, at least one elastic device operatively interposed between said upper structure and said lower structure, at least one electric motor operatively arranged in series with said at least one elastic device, between said upper structure and said lower structure, and actionable by said system electronic controller for dynamically controlling the extent of deformation of said at least one elastic device.
7. System according to claim 6, wherein said at least one elastic device is selected from a spiral spring and an elastic joint.
8. System according to claim 1, wherein said at least one system electronic controller comprises an artificial neural network configured for learning movements and physical and physiological features of the operator and for consequently elaborating both signals to send to the robot electronic controller for allowing the collaborative robot to operate consistently with the movements and the physical and physiological features of the operator, both command signals for said one or more actuators of the at least one active exoskeleton.
Description
DETAILED DESCRIPTION OF THE INVENTION
[0031] Further characteristics and advantages of the invention will become apparent from the description that follows with reference to the attached drawings, provided purely by way of non-limiting example, wherein:
[0032]
[0033]
[0034]
[0035]
[0036]
[0037] In
[0038] In the example illustrated in
[0039] The work station 2 comprises a system for assisting the operator 1 in conducting the working operation, so as to minimize his/her fatigue level and to optimize his/her work performance.
[0040] In particular, this system comprises a plurality of sensors S associable to the body of the operator 1 for the detection of one or more parameters.
[0041] The sensors S are configured for detecting one or more physiological parameters, which are indicative of the fatigue level of the operator 1, and/or one or more movement parameters, which are indicative of the position and of the orientation of the operator 1 in the work station 2.
[0042] Examples of parameters which are detected by sensors S are the heart rate, the metabolic consumption, the skin conductivity, the surface electromyography, the pressure at the interface between an active exoskeleton worn by the operator 1 and the body of the operator 1, the movement of the operator 1 and the relative orientation of the body districts of the operator 1. It is understood that it is possible to carry out detections in which the above parameters are detected all together, individually or in groups.
[0043] It is understood that the number, the type and the shape of the sensors S which are associated to the body of the operator 1 may vary in different embodiments, based also on parameters which are intended to be detected. For instance, if you want to perform a surface electromyography for detecting the activation of the muscles of the operator 1 or a detection of the heart rate of the operator 1, the sensors consist of electrodes usually used in the art for this type of detections.
[0044] In an embodiment, the sensors S are associated to a garment 4 intended to be worn by an operator 1, so that when the operator 1 wears the garment, the sensors S are in contact with the body of the operator 1.
[0045] In the example shown in
[0046] In the example shown in
[0047] Nevertheless, such characteristics are non-limiting, since the sensors S may also be of shape and size other than the ones represented in
[0048] In an embodiment, the sensors S are associated directly to the body of the operator 1, as represented by way of example in
[0049] In the example shown in
[0050] In the embodiment shown in
[0051] In the example shown in
[0052] Moreover, in embodiments not visible in the figures, the support structures 5 are absent, as the sensors S are capable of remaining autonomously at the suitable body district for detecting the parameters. For example, in the case a surface electromyography or the detection of the heart rate of the operator 1 is intended to be conducted, electrodes can be used that include an adhesive strip at the portion that comes into contact with the body of the operator 1, capable of keeping the electrode attached to the skin, so that support structures 5 are not required.
[0053] It is evident from the above description that the preferred body districts of the operator 1 with which the sensors S are put in contact for conducting the detections of parameters are the arms, the legs and the torso. However, this characteristic is non-limiting, since the sensors S may be arranged at any other body district of the operator 1 in which the detection of one or more parameters is intended to be conducted.
[0054] The system for assisting the operator 1 in the work station 2 further comprises at least one active exoskeleton 6, wherein “active exoskeleton” refers to an exoskeleton comprising one or more electrically operated actuators. The active exoskeleton 6 is wearable by the operator 1 for receiving assistance in the execution of one or more operations and, preferably, for receiving assistance in maintaining postures in which the muscles of the operator 1 are contracted for prolonged periods of time.
[0055] It is understood that both embodiments wherein the system comprises only one active exoskeleton 6 and embodiments wherein the system comprises more than one active exoskeleton 6, each for providing a corresponding body district of the operator 1 who is wearing them with support, fall under the scope of the present description. In the embodiment wherein the system comprises more than one active exoskeleton 6, each active exoskeleton 6 comprises one or more corresponding electrically operated actuators.
[0056] In a preferred embodiment, the active exoskeleton 6 is worn by the operator 1 for receiving assistance in forward reclining movements of the torso, and is particularly useful when the operator 1 has to remain for many hours in a row with the torso forward reclined or when the operator 1 has to perform tasks, such as lifting weights, in the reclined position, as exemplified in
[0057] However, this characteristic is non-limiting, since in embodiments not visible in the figures the active exoskeleton 6 provides the operator 1 with a different support, for example a support to movements of the muscles of the legs or to movements of the muscles of the arms.
[0058] A preferred example of active exoskeleton 6 suitable for being worn by an operator 1 has already been proposed by the same inventors in the European patent application EP 20162846, still secret at the date of filing of the present application, and is shown in
[0059] In this preferred example, the active exoskeleton 6 is worn by the operator 1 for receiving assistance in forward reclining movements of the torso, and comprises an upper structure 7, for the engagement of the torso of the operator 1, and a lower structure 8, for the engagement of the legs of the operator 1. The upper structure 7 and the lower structure 8 are pivotally connected with each other around an axis a.
[0060] As visible in
[0061] The active exoskeleton 6 further comprises at least one elastic device, not visible in
[0062] The electric motor 10 comprises a motor shaft 10B, capable of driving the rotation of a driven shaft 11 by means of a belt reducer transmission 12. Being the driven shaft 11 linked to the elastic device, such elastic device is deformed by the rotation and consequently delivers a resisting torque which results in a supporting effect felt by the operator 1 in the forward reclining movement of the torso.
[0063] In an embodiment, the sensors S are associated to the structure of the active exoskeleton 6 so as to be in contact with the body of the operator 1, with reference to the condition of the active exoskeleton 6 worn by the operator 1. The association between the sensors S and the active exoskeleton 6 may be performed in any type know in the art, for example by means of the use of an adhesive material.
[0064] In the embodiment wherein the active exoskeleton 6 is the exoskeleton shown in
[0065] In the embodiment wherein the operator 1 wears a garment 4 in which the sensors S are integrated, the active exoskeleton 6 is worn by the operator 1 over the garment 4.
[0066] The system for assisting the operator 1 in conducting work operations further comprises at least one collaborative robot 12, configured for conducting one or more operations adjacent to the operator 1 and in cooperation with the operator 1, wherein “collaborative robot” refers to a robot operating in an open space not protected by a fence or other means of protection. In other words, the collaborative robot 12 operates in the same work station 2 where the operator 1 conducts his/her operations.
[0067] The collaborative robot 12 is configured for cooperating with the operator 1 in order to facilitate the conduction of his/her operations, for example by providing him/her with tools necessary for the work or by conducting actions complementary to the actions conducted by the operator 1.
[0068] The collaborative robot 12 further comprises a robot electronic controller E.sub.R associated to it. In particular, the electronic controller E.sub.R sends signals to the collaborative robot 12 so as to control the actions which are conducted by the collaborative robot 12 or the position of the collaborative robot 12 within the work station 2.
[0069] It is understood that more than one collaborative robot 12 may be present in the work station 2 for cooperating with the operator 1. In such a case, each collaborative robot 12 is associated to a corresponding robot electronic controller E.sub.R.
[0070] It is understood that the collaborative robot 12 may be any type of collaborative robot known in the art and suitable for being used in a work station 2. Typical examples of collaborative robots are robots equipped with sensorized coatings or casings, which allow the robot to stop when an excessive proximity of parts of the robot with respect to an external body is detected.
[0071] The system for assisting the operator 1 further comprises at least one system electronic controller E.sub.S configured and programmed for receiving signals by the sensors S, which are elaborated by them based on the parameters detected from the operator 1, and for sending signals to the one or more electrically operated actuators of the active exoskeleton 6 and to the robot electronic controller E.sub.R based on the elaboration of signals detected by the sensors S.
[0072] In particular, the electrically operated actuators of the active exoskeleton 6 worn by the operator 1 are controlled by the system electronic controller E.sub.S based on the physiological parameters detected by the sensors S which are indicative of the fatigue level of the operator 1, such as the heart rate, the surface electromyography, the skin conductivity and the metabolic consumption.
[0073] Moreover, the robot electronic controller E.sub.R is controlled by the system electronic controller E.sub.S based on the parameters indicative of the movement of the operator 1 and on the position and relative orientation of his/her body districts. In this way, the electronic controller E.sub.R moves the collaborative robot 12 so that the operator 1 does not risk to collide with it and always operates safely.
[0074] In the preferred embodiment, the system electronic controller E.sub.S advantageously comprises an artificial neural network configured for learning the movements and the physical and physiological features of the operator 1 and for consequently elaborating both signals to send to the robot electronic controller E.sub.R and command signals for the electrically operated actuators of the active exoskeleton 6. It is understood that the definition “artificial neural network” as used herein refers to a circuit or a controller configured for performing an elaboration by means of a method of machine learning.
[0075] A scheme of the use of the embodiment shown in the figures is visible in
[0076] The sensors S detect physiological parameters of the operator 1, namely heart rate, skin conductivity, surface electromyography, metabolic consumption, which are indicative of the fatigue level of the operator 1, and parameters indicative of the movement and of the relative orientation of the body districts of the operator 1.
[0077] Based on the detected parameters, the sensors S generate a plurality of signals, indicated as A1-A8 in
[0078] Based on the signals B received from the system electronic controller E.sub.S, the robot electronic controller E.sub.R controls the collaborative robot 12 so that it cooperates in an optimal way with the operator 1. In particular, the robot electronic controller E.sub.R commands movements of the collaborative robot 12 within the work station 2 so as to avoid that it collides with the operator 1, thus ensuring safe work conditions and reducing the risk that the operator 1 is accidentally injured. Moreover, the robot electronic controller E.sub.R controls the collaborative robot 12 so that it conducts complementary operations to the operations conducted by the operator 1. For example, the collaborative robot 12 may deliver work tools to the operator 1, or conduct part of the workload of the operator 1.
[0079] Moreover, based on signals C received by the system electronic controller E.sub.S, the electrically operated actuators of the active exoskeleton 6 are activated, deactivated or regulated so as to provide the operator 1 wearing the active exoskeleton 6 always with the optimal assistance, which is set based on the fatigue level detected with the elaboration of the parameters detected by the sensors S.
[0080] Thanks to the presence of the artificial neural network, the system electronic controller E.sub.S stores the physiological parameters and the movement parameters detected for every operator 1 who uses the assistance system, and elaborates these parameters by means of methods of machine learning. As a consequence, an optimal control of the collaborative robot 12 and of the active exoskeleton 6 is set for every operator 1, so as to receive an assistance that is as adapted as possible to the physical and physiological features, to the postures and to the workload of the operator 1, and as a function of the time and of the evolution of the physical state of the operator 1 during the working period.
[0081] For example, depending on the height of the operator 1, the artificial neural network is capable of storing the optimal position for the delivery of working tools from the collaborative robot 12 to the operator 1, so that every time that specific operator 1 uses the assistance system within the work station 2, the collaborative robot 12 delivers the working tools to the operator 1 at the stored position.
[0082] It is evident form the above description that the assistance system subject of the present invention is characterized by a high level of active cooperation among the involved apparatus. In fact, the system allows not only to avoid that the operator collides with the collaborative robot, but also to foster an active cooperation between the collaborative robot and the active exoskeleton so as to maximize the assistance felt by the operator and to make the working environment comfortable and safe.
[0083] Moreover, unlike what has been described in the US patent application US 2019099877 A1 cited at the beginning of the present description, collisions between the collaborative robot and the operator are prevented not by moving the exoskeleton—and thus the muscles of the operators—against the control of the operator, but simply by moving, braking or blocking the collaborative robot within the work station based on the parameters of movement and of relative orientations of the body districts that are detected by the sensors. This involves an increase in the comfort felt by the operator.
[0084] Studies and tests carried out by the Applicant has further proved that the parameters listed above, including physiological parameters aimed at determining the fatigue level of the operator and movement parameters aimed at determining the position of the operator within the work station in relation to the collaborative robot, if detected simultaneously by sensors in contact with the body of the operator, have a synergistic effect in ensuring an optimal control of the collaborative robot and of the active exoskeleton for assisting the operator in conducting his/her operations.
[0085] Naturally, without prejudice to the principle of the invention, the details of construction and the embodiments may vary widely with respect to those described and illustrated purely by way of example, without departing from the scope of the present invention, as defined by the attached claims.