AUXILIARY SUPPORT METHOD BASED ON VARIABLE STIFFNESS SUPERNUMERARY ROBOTIC LIMBS

    公开(公告)号:US20240033899A1

    公开(公告)日:2024-02-01

    申请号:US18022748

    申请日:2022-07-25

    CPC classification number: B25J9/0006 A61F2/54 A61F2/72 G16H40/63 A61F2002/704

    Abstract: An auxiliary support method based on variable stiffness supernumerary robotic limbs includes: obtaining data from a surface electromyography sensor and an inertial sensor; processing the data from the inertial sensor to determine whether a wearer has an operation intention; preprocessing the data from the surface electromyography sensor through full-wave rectification, low-pass filtering and normalization; using preprocessed surface electromyography to estimate a reference stiffness of an arm of the wearer; and mapping the reference stiffness of the arm to an impedance control model of the supernumerary robotic limbs. In the method, man-machine cooperation between human and the supernumerary robotic limbs in a task of overhead support is achieved by coordinating a stiffness of the human arm and a stiffness of the supernumerary robotic limbs, thereby reducing input of personnel in the task; and when the stiffness of the arm of the wearer decreases, the stiffness of the supernumerary robotic limbs increases.

    AUTOMATED CALIBRATION SYSTEM AND CALIBRATION METHOD FOR FLEXIBLE ROBOT ACTUATOR

    公开(公告)号:US20230211504A1

    公开(公告)日:2023-07-06

    申请号:US17774317

    申请日:2022-01-06

    CPC classification number: B25J9/1692

    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. The rotating motor system is installed on the support frame through the horizontal axis motor system, the actuating end of the flexible actuator is fixed on the rotating motor system, and a free end of the flexible actuator is in contact with a measuring end of the pressure gauge to carry out pressure measurement. The calibration system is high in accuracy and simple to use.

    METHOD FOR MANUFACTURING AND CONTROLLING REHABILITATION GLOVE BASED ON BIDIRECTIONAL DRIVER OF HONEYCOMB IMITATING STRUCTURE

    公开(公告)号:US20230139608A1

    公开(公告)日:2023-05-04

    申请号:US17792316

    申请日:2022-01-06

    Abstract: A rehabilitation glove based on a bidirectional driver of a honeycomb imitating structure, including five bidirectional drivers and a cotton glove. The drivers are fixed to a back of the glove through hook and loop fasteners. Each driver includes a hollow buckling air bag in a continuous bent state, a middle guide layer in a continuous bent state and a hollow stretching air bag. The buckling air bag and the middle guide layer are symmetrically arranged, and the stretching air bag in a straightened state is arranged below the middle guide layer. A novel bidirectional driver of a honeycomb imitating structure is provided, which may provide a patient with rehabilitation training in two degrees of freedom: buckling and stretching. A control algorithm of the bidirectional driver is further provided to perform force control output for the driver, which may better help the patient recover hand functions.

    AUTONOMOUS MOBILE GRABBING METHOD FOR MECHANICAL ARM BASED ON VISUAL-HAPTIC FUSION UNDER COMPLEX ILLUMINATION CONDITION

    公开(公告)号:US20230042756A1

    公开(公告)日:2023-02-09

    申请号:US17784905

    申请日:2021-10-26

    Abstract: The present disclosure discloses an autonomous mobile grabbing method for a mechanical arm based on visual-haptic fusion under a complex illumination condition, which mainly includes approaching control over a target position and feedback control over environment information.
    According to the method, under the complex illumination condition, weighted fusion is conducted on visible light and depth images of a preselected region, identification and positioning of a target object are completed based on a deep neural network, and a mobile mechanical arm is driven to continuously approach the target object; in addition, the pose of the mechanical arm is adjusted according to contact force information of a sensor module, the external environment and the target object; and meanwhile, visual information and haptic information of the target object are fused, and the optimal grabbing pose and the appropriate grabbing force of the target object are selected.
    By adopting the method, the object positioning precision and the grabbing accuracy are improved, the collision damage and instability of the mechanical arm are effectively prevented, and the harmful deformation of the grabbed object is reduced.

    EXOSKELETON FINGER REHABILITATION TRAINING DEVICE AND USAGE METHOD THEREOF

    公开(公告)号:US20220133578A1

    公开(公告)日:2022-05-05

    申请号:US17311325

    申请日:2020-06-28

    Abstract: A exoskeleton finger rehabilitation training device comprises an exoskeleton finger rehabilitation training mechanism comprising 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 comprises 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.

    PORTABLE HAPTIC FEEDBACK CAPACITIVE STYLUS FOR INTERACTION ON MOBILE TERMINAL
    37.
    发明申请
    PORTABLE HAPTIC FEEDBACK CAPACITIVE STYLUS FOR INTERACTION ON MOBILE TERMINAL 有权
    便携式信号反馈电容式移动终端接口

    公开(公告)号:US20160188015A1

    公开(公告)日:2016-06-30

    申请号:US14907289

    申请日:2014-08-12

    Abstract: Disclosed is a portable haptic feedback capacitive stylus for interaction on a mobile terminal, composing a tip, a sleeve ring, a first housing, a connecting cylinder, a second housing, an end-portion housing, a motor, a spring, a slider, a screw rod, a photoelectric code disc, a measurement and control module, a vibration touch module, and a power supply. The first housing comprises a front housing and a rear housing, and a limiting groove is disposed in an inner wall of the first housing. The tip is fixedly connected to one end of the connecting cylinder, and the other end of the connecting cylinder passes through an end-portion through-hole of the front housing.

    Abstract translation: 公开了一种用于在移动终端上相互作用的便携式触觉反馈电容触针,构成尖端,套筒环,第一壳体,连接圆筒,第二壳体,端部壳体,马达,弹簧,滑块, 螺杆,光电代码盘,测量和控制模块,振动触摸模块和电源。 第一壳体包括前壳体和后壳体,并且限制凹槽设置在第一壳体的内壁中。 尖端与连接圆筒的一端固定连接,连接圆筒的另一端穿过前壳体的端部通孔。

    WEARABLE HAPTIC FEEDBACK DEVICE FOR HUMAN-ROBOT FORMATION CONTROL

    公开(公告)号:US20240402815A1

    公开(公告)日:2024-12-05

    申请号:US18779054

    申请日:2024-07-21

    Abstract: Disclosed is a wearable haptic feedback device for human-robot formation control, including an interactive interface module and a main control module, wherein the interactive interface module includes an input module and a wearable haptics feedback module; the wearable haptics feedback module includes an extrusion force feedback module, a shear force feedback module, and a vibration feedback module, and the main control module controls each module and receives operation instructions. The device can be wirelessly deployed on an arm of a user, and provide feedback on the formation change, motion guidance, and obstacle detection of the human-robot formation by generating three haptic feedback signals: extrusion, shearing, and vibration. A haptic channel is more advantageous in providing feedback to the user on understanding capability and task situation of external limbs, which can play a unique role in reducing the difficulty of human-robot interaction and creating highly immersive operation experience for the user.

    METHOD FOR IDENTIFYING SKILLS OF HUMAN-MACHINE COOPERATION ROBOT BASED ON GENERATIVE ADVERSARIAL IMITATION LEARNING

    公开(公告)号:US20240359320A1

    公开(公告)日:2024-10-31

    申请号:US18246860

    申请日:2022-08-12

    CPC classification number: B25J9/163

    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 value eventually output as an output result of identifying the skills. The present disclosure innovatively combines a computer image recognition with the famous generative adversarial imitation learning in a imitation learning, which has short training time and high learning efficiencies.

    FORCE TACTILE FEEDBACK DEVICE AT MASTER END OF ROBOT ASSISTED SYSTEM FOR VASCULAR INTERVENTIONAL SURGERY

    公开(公告)号:US20240216086A1

    公开(公告)日:2024-07-04

    申请号:US18544390

    申请日:2023-12-18

    CPC classification number: A61B34/30 A61B34/76 A61B2034/301 A61B2034/303

    Abstract: A force tactile feedback device at master end of robot assisted system for vascular interventional surgery includes a surgeon operating rod, a circumferential directional surgeon operation action capturing and force tactile feedback unit, a compressible and extendable rhombus structure, a transmission directional surgeon operation action capturing and force tactile feedback unit, a housing and a support plate. The force tactile feedback device at master end of robot assisted system for vascular interventional surgery keeps consistent with a traditional manual vascular interventional surgery in operation mode, and not only reduces a learning cycle and use difficulty for a surgeon on a master end apparatus, but also allows the surgeon to make full use of accumulated experience and skills.

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