Abstract: Examples of the disclosure enable detecting an anomalous state in a machine. The method is performed by an anomaly detection server. The method includes receiving training analysis vectors associated with a monitored machine during a training period. The method also includes applying the training analysis vectors to a machine learning model to create a trained machine learning model configured to describe normal states in the monitored machine as indicated by training analysis vectors. The method further includes receiving monitoring analysis vectors associated with the monitored machine during a monitoring period. The method also includes applying the monitoring analysis vectors to the trained machine learning model to identify at least one discrepancy indicating an anomalous state in the monitored machine. The method further includes transmitting an alert indicating that an anomaly is detected in the monitored machine.

Abstract: A wearable inspection unit is provided. The wearable inspection unit includes at least one sensor configured to capture images based on a current view of the user, a media output component configured to display an augmented reality overlay to a user, and a controller. The controller is programmed to store a machine learning trained inspection model trained to recognize images of one or more components, receive a signal from the at least one sensor including a current image in the current view of the user, compare the current image to a trained inspection model to determine a classification code based on the comparison, determine a current step of a process being performed by the user based on the classification code, and provide a notification message to the user via the augmented reality overlay based on the current step of the process being performed by the user.

Abstract: Examples of the disclosure enable detecting an anomalous state in a machine. The method is performed by an anomaly detection server. The method includes receiving training analysis vectors associated with a monitored machine during a training period. The method also includes applying the training analysis vectors to a machine learning model to create a trained machine learning model configured to describe normal states in the monitored machine as indicated by training analysis vectors. The method further includes receiving monitoring analysis vectors associated with the monitored machine during a monitoring period. The method also includes applying the monitoring analysis vectors to the trained machine learning model to identify at least one discrepancy indicating an anomalous state in the monitored machine. The method further includes transmitting an alert indicating that an anomaly is detected in the monitored machine.

Abstract: A system for use in transmitting data. The system includes at least one wireless beacon positionable in a work zone, with the at least one wireless beacon configured to emit a signal. A diagnostic device is configured to mate with an object positionable in the work zone, the diagnostic device including a wireless transceiver configured to receive the signal, and a controller in communication with the wireless transceiver. The controller is configured to receive a data package associated with the object, determine a location of the object based on an analysis of the signal, and transmit, via the wireless transceiver, the data package to the work zone when it is determined that the object is positioned within the work zone.

Abstract: A system for use in facilitating a manufacturing operation that includes a wireless beacon paired with each vehicle of multiple vehicles routable along a production line in a sequence. The wireless beacon emits a signal containing information that identifies the paired vehicle. A wireless transceiver is at a predetermined location along the production line, and the wireless transceiver scans for the signal. A server device is in communication with the wireless transceiver. The server device stores pairing data of which wireless beacon is paired with each vehicle, and sequence data of the vehicles routed along the production line, and receives, from the wireless transceiver, a signal containing the information that identifies the paired vehicle. The server device also verifies, based on the pairing data, the sequence data, and the information in the signal, that an order in which the vehicles enter the predetermined location corresponds to the sequence.

Abstract: A support robot and control system for timely and efficiently providing at least one of a tool, a part, a component, an electrical supply, and an air supply within an assembly line operation. The support robot and system may include a detection unit for detecting user and a motion planning unit for controlling the motion of the robot based on data received from the detection unit. The support robot may further include an input unit for receiving input from a user. The system may estimate work progress of a user via a work progress estimation unit. The work progress estimation unit may determine work production based on at least an output from the detection unit and information obtained from a work progress database. The system may further include a robot location adjustment unit. The robot location adjustment unit may adjust the location of the robot based on information received from the motion planning unit.

Abstract: A system for use in facilitating a manufacturing operation that includes a wireless beacon paired with each vehicle of multiple vehicles routable along a production line in a sequence. The wireless beacon emits a signal containing information that identifies the paired vehicle. A wireless transceiver is at a predetermined location along the production line, and the wireless transceiver scans for the signal. A server device is in communication with the wireless transceiver. The server device stores pairing data of which wireless beacon is paired with each vehicle, and sequence data of the vehicles routed along the production line, and receives, from the wireless transceiver, a signal containing the information that identifies the paired vehicle. The server device also verifies, based on the pairing data, the sequence data, and the information in the signal, that an order in which the vehicles enter the predetermined location corresponds to the sequence.

Abstract: A system for use in transmitting data. The system includes at least one wireless beacon positionable in a work zone, with the at least one wireless beacon configured to emit a signal. A diagnostic device is configured to mate with an object positionable in the work zone, the diagnostic device including a wireless transceiver configured to receive the signal, and a controller in communication with the wireless transceiver. The controller is configured to receive a data package associated with the object, determine a location of the object based on an analysis of the signal, and transmit, via the wireless transceiver, the data package to the work zone when it is determined that the object is positioned within the work zone.

Abstract: A support robot and control system having a support arm providing at least one degree of motion. The support robot includes a support arm supporting mechanism connected to the support arm and providing at least two degrees of motion. The support arm optionally includes a biomimetic actuator connectable to an end effector, a telescoping section operatively connected to the biomimetic actuator, and a tensile force transmitting member connected to an actuator. The actuator is capable of moving the biomimetic actuator towards and away from the actuator via the tensile force transmitting member. The support arm further includes an inflatable outer cover at least partially encasing the telescoping section and the tensile force transmitting member.

Abstract: A support robot and control system having a support arm providing at least one degree of motion. The support robot includes a support arm supporting mechanism connected to the support arm and providing at least two degrees of motion. The support arm optionally includes a biomimetic actuator connectable to an end effector, a telescoping section operatively connected to the biomimetic actuator, and a tensile force transmitting member connected to an actuator. The actuator is capable of moving the biomimetic actuator towards and away from the actuator via the tensile force transmitting member. The support arm further includes an inflatable outer cover at least partially encasing the telescoping section and the tensile force transmitting member.

Abstract: A support robot and control system for timely and efficiently providing at least one of a tool, a part, a component, an electrical supply, and an air supply within an assembly line operation. The support robot and system may include a detection unit for detecting user and a motion planning unit for controlling the motion of the robot based on data received from the detection unit. The support robot may further include an input unit for receiving input from a user. The system may estimate work progress of a user via a work progress estimation unit. The work progress estimation unit may determine work production based on at least an output from the detection unit and information obtained from a work progress database. The system may further include a robot location adjustment unit. The robot location adjustment unit may adjust the location of the robot based on information received from the motion planning unit.

Abstract: A robotic system includes a robotic arm assembly and a guard assembly. The robotic arm assembly includes a robotic arm and an end effector that is coupled to the robotic arm and selectively couples to a moveable object. The guard assembly is selectively moveable between an open configuration and a closed configuration, and includes a plurality of guard petals that selectively move between a retracted configuration and an extended configuration. Each guard petal includes a flexible support structure and a fluid bladder coupled to the flexible support structure. The fluid bladder is selectively filled with a fluid to change the fluid bladder between a relaxed configuration and an expanded configuration. The fluid bladder is configured to wrap the flexible support structure around at least a portion of the moveable object when the guard petal is in the extended configuration and the fluid bladder is in the expanded configuration.

Abstract: Some embodiments are directed to a computer-assisted method for identifying a vehicle. The computer-assisted method can include: receiving, from a stationary sensor, sensor data representing a plurality of moving vehicles; receiving, from a particular vehicle, a communication including sensor data representing the particular vehicle, wherein the sensor data includes at least one of velocity and position for the particular vehicle; and identifying, from the sensor data representing a plurality of moving vehicles, a subset of the data representing the particular vehicle, wherein identifying the subset of data comprises analyzing the sensor data received from the stationary sensor in conjunction with the sensor data received from the particular vehicle.

Abstract: Some embodiments are directed to a computer-assisted method for identifying a vehicle. The computer-assisted method can include: receiving, from a stationary sensor, sensor data representing a plurality of moving vehicles; receiving, from a particular vehicle, a communication including sensor data representing the particular vehicle, wherein the sensor data includes at least one of velocity and position for the particular vehicle; and identifying, from the sensor data representing a plurality of moving vehicles, a subset of the data representing the particular vehicle, wherein identifying the subset of data comprises analyzing the sensor data received from the stationary sensor in conjunction with the sensor data received from the particular vehicle.