Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

11450 results about "Motion control" patented technology

Motion control is a sub-field of automation, encompassing the systems or sub-systems involved in moving parts of machines in a controlled manner. The main components involved typically include a motion controller, an energy amplifier, and one or more prime movers or actuators. Motion control may be open loop or closed loop. In open loop systems, the controller sends a command through the amplifier to the prime mover or actuator, and does not know if the desired motion was actually achieved. Typical systems include stepper motor or fan control. For tighter control with more precision, a measuring device may be added to the system (usually near the end motion). When the measurement is converted to a signal that is sent back to the controller, and the controller compensates for any error, it becomes a Closed loop System.

Wheel type mobile fruit picking robot and fruit picking method

The invention discloses a picking method and picking robot device aiming at fruits which are in size of an apple and is similar to a sphere. The picking robot device comprises a mechanical actuating device, control system hardware and control system software. The mechanical actuating device comprises a picking mechanical arm, an underactuated manipulator, an electric sliding table and an intelligent mobile platform, wherein the control system hardware comprises an IPC (industrial personal computer), a motion control card, a data acquisition card, an AHRS (attitude and heading reference system), a coder, a monocular camera, a binocular camera, a force sensor, a slipping sensor and the like. During operation, the IPC fuses information of the coder, the AHRS, monocular camera components and an ultrasonic sensor to enable the mobile platform to independently navigate and avoid obstacles. A binocular vision system collects images of mature fruits and obstacles and extracts the characteristics of the images so as to realize obstacle avoidance of the mechanical arm and fruit positioning. Finally, the IPC fuses the information of the force sensor, the slipping sensor and the position sensor, thereby further reliably gripping the mature fruits and separating the fruits from fruit branches.
Owner:NANJING AGRICULTURAL UNIVERSITY

Automatic-navigation crawler-type mobile fruit picking robot and fruit picking method

The invention discloses an automatic-navigation crawler-type mobile fruit picking robot which comprises a mechanical execution system and a control system and is characterized in that the mechanical execution system comprises an intelligent movable platform, a fruit picking mechanical arm and a two-finger type manipulator, wherein the intelligent movable platform comprises two crawler assemblies, an experimental facility fixing rack, a supporting stand column, a cross beam, a speed reducer and the like; and the control system comprises an industrial personal computer, a motion control card, a data collecting card, an image collecting card, an encoder, a GPS (global position system), a monocular zooming camera assembly, a binocular camera, a laser ranging sensor, a control circuit and the like. The automatic-navigation crawler-type mobile fruit picking robot integrates the fruit picking mechanical arm, the two-finger type manipulator, the intelligent movable platform and the sensor system, integrates multiple key technologies such as fruit identification, motion of the picking mechanical arm, grabbing of a tail-end executer, automatic navigation and obstacle avoidance of the movable platform, and the like, and really realizes automatic and humanized fruit picking.
Owner:NANJING AGRICULTURAL UNIVERSITY

Motion control method of lower limb rehabilitative robot

The invention relates to a motion control method of a lower limb rehabilitative robot. In the method, aiming at different rehabilitation stages of a patient, two working modes of passive training and active training are carried out: under the mode of passive training, the patient is driven by controlling the robot to finish specific motions or motion according to a right physiological gait track; abnormal motions of the patient are completely restrained; and the patient passively follows the robot to do walking rehabilitation training; under the mode of active training, limited abnormal motions of the patient are restrained by the robot; through a real-time detection on joint driving forces generated when the patient acts on the robot in the motion process, human-computer interaction moment is extracted by utilizing an inverse dynamic model to judge the active motion intention of lower limbs of the patient; and the interaction moment is converted into correction value of gait track by utilizing an impedance controller to directly correct or generate the gait training track the patient expects through an adaptive controller, therefore, the purpose that the robot can provide auxiliary force and resistant force for the rehabilitation training can be indirectly realized. By means of the motion control method of the lower limb rehabilitative robot, rehabilitation training motions suitable for different rehabilitation stages can be provided for a dysbasia patient, thereby enhancing active participation degree of the rehabilitation training of the patient, building confidence of the rehabilitation and positivity of the motion, and then enhancing effect of the rehabilitation training.
Owner:SHANGHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products