Abstract: Disclosed in the present disclosure is a method for identifying skills of a human-machine cooperation robot based on a generative adversarial imitation learning, which includes: firstly, defining classifications of human-machine cooperation skills that needed to be conducted; conducing demonstrations on different classifications of the skills by human experts, and collecting image information and data in the demonstrations to make calibrations; identifying the image information by means of image processing, extracting effective feature vectors capable of clearly distinguishing the different classifications of the skills and taking the effective feature vectors as demonstration teaching data; training a plurality of discriminators respectively by utilizing the acquired demonstration teaching data through a method of the generative adversarial imitation learning; extracting user's data after the training and putting the data into different discriminators, and taking a discriminator corresponding to a maximum va

Abstract: The present disclosure discloses a pipeline inspection robot with crisscross structure-changeable crawler belts and a control method thereof. The pipeline inspection robot includes a robot main body, crawler belt tilt angle adjustment mechanisms symmetrically provided on left and right sides of the robot main body, and crisscross structure-changeable crawler belt assemblies provided on the crawler belt tilt angle adjustment mechanisms. The robot main body is connected to the crisscross structure-changeable crawler belt assemblies at the left and right sides thereof by means of the crawler belt tilt angle adjustment mechanisms. The crawler belt tilt angle adjustment mechanisms are adjusted by means of supporting sliding blocks at the bottom of the robot main body. The crisscross structure-changeable crawler belt assembly includes a primary traveling crawler belt, an auxiliary traveling crawler belt, and a crisscross structure-changeable sliding block.

Abstract: A combined structure for thin film sputtering high-precision six-dimensional force sensor includes a cross beam, a double U-shaped beam, a base, a top cover, a bottom cover and thin film strain gauges. Strain gauges are sputtered on the main beam to form six sets of Wheatstone bridges, with three sets on the cross beam and three sets on the double U-shaped beam. The measurement method of the six-dimensional force sensor is that: an input force/moment of a certain dimension acts on the center of the cross beam and the center of the double U-shaped beam, so that the sensor is deformed and resistance values of strain gauges at corresponding positions change, thereby changing output voltages of corresponding bridges.

Abstract: A combined six-dimensional force sensor based on thin-film sputtering technology includes a force transmission table, a cross beam, a base, a top cover, a bottom cover and strain gauges. Strain gauges are sputtered on the elastomer structure to form six sets of Wheatstone bridges. The measurement method of the six-dimensional force sensor is that: an input force/moment of a certain dimension acts on the elastomer structure including the force transmission table and the cross beam through the top cover, the cross beam is deformed and resistance values of strain gauges at corresponding positions change, and output voltages of corresponding bridges change.

Abstract: A six-dimensional force sensor elastomer structure based on improved cross beam includes main beams, first floating beams, second floating beams, square corners and thin film strain gauges. Strain gauges are sputtered on the main beams and the first floating beams to form a plurality of sets of Wheatstone bridges. When an input force/moment of a certain dimension acts on the center of an elastomer, the sensor is deformed and resistance values of strain gauges at corresponding positions change, so that output voltages of corresponding bridges are changed.

Abstract: A exoskeleton finger rehabilitation training device includes an exoskeleton finger rehabilitation training mechanism including a supporting base, a finger sleeve actuating mechanism, and a finger joint sleeve connected to a power output end of the finger sleeve actuating mechanism, wherein the finger joint sleeve can be sheathed at the periphery of a finger joint to be rehabilitated, and the finger joint sleeve can be driven by the power actuation of the finger sleeve actuating mechanism to drive the finger joint to be rehabilitated in order to passively bend or stretch; the supporting base includes a profiled shell, with an inner surface of the profiled shell being configured based on the profile of the complete back of a palm or part of the back of the palm, and with the back of the profiled shell being provided with a power fixed base.

Abstract: The present disclosure discloses an automated calibration system and calibration method for a flexible robot actuator. The calibration system includes a support frame. A visual positioning system, a pressure measuring system and a pneumatic pressure control system are respectively installed on the support frame. The visual positioning system is configured to measure a relative displacement and an angle between two ends of the flexible actuator. The pneumatic pressure control system is configured to charge air into an actuating end of the flexible actuator and measure an input pneumatic pressure of the flexible actuator. The pressure measuring system includes a pressure gauge installed on the support frame through a vertical axis motor system, and the flexible actuator to be calibrated installed on the support frame through a horizontal axis motor system and a rotating motor system.

Abstract: Systems and methods for non-invasively scanning and analyzing one or more characteristics of a sample utilizing electromagnetic radiation are described. More particularly, the systems and methods utilize an electromagnetic radiation source connected to a transmitter and an analyzer connected to a receiver. A sample to be analyzed is placed between the transmitter and receiver in a variety of different manners and a frequency sweep of electromagnetic radiation is transmitted through the sample to create a series of spectral data sets that are used to create one or more composite spectrograms, which are then analyzed to determine one or more characteristics of the sample. A magnetic field can alternatively be applied around the transmitter, receiver and sample to enhance some characteristic analysis applications. Samples include inert and living items, and the characteristics include a wide variety of different applications.

Abstract: Systems and methods for non-invasively scanning and analyzing one or more characteristics of a sample utilizing electromagnetic radiation are described. More particularly, the systems and methods utilize an electromagnetic radiation source connected to a transmitter and an analyzer connected to a receiver. A sample to be analyzed is placed between the transmitter and receiver in a variety of different manners and a frequency sweep of electromagnetic radiation is transmitted through the sample to create a series of spectral data sets that are used to create one or more composite spectrograms, which are then analyzed to determine one or more characteristics of the sample. A magnetic field can alternatively be applied around the transmitter, receiver and sample to enhance some characteristic analysis applications. Samples include inert and living items, and the characteristics include a wide variety of different applications.