Mechanical arm and mechanical arm control method based on Leap Motion
A control method and technology of robotic arms, which are applied in the directions of manipulators, program-controlled manipulators, and manufacturing tools, etc., can solve the problems of less freedom and complicated operation of the manipulator, and achieve the effect of easy disassembly, high precision, and smooth operation process.
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Embodiment 1
[0077] see Figure 5 , a flowchart of a Leap Motion-based robotic arm control method provided in an embodiment of the present invention, the method includes the following steps:
[0078] S100: The Leap Motion device collects hand motion data in real time, and extracts characteristic parameters of the hand motion data.
[0079] Leap Motion is a somatosensory controller for PC and Mac. It can detect and track hands, fingers and similar tools. It can work with high precision and high tracking frame rate. It uses infrared filters and has strong anti-interference ability. LeapMotion recognizes hands, fingers, and tools and can capture their positions, gestures, and movements in real time. The visual range of Leap Motion is an inverted pyramid, with the tip of the tower in the center of the device. The working range of Leap Motion is about 25 to 600 mm in front of the device, that is, 1 inch to 2 inches, which makes up for the short-range recognition of some sensors on the market. ...
Embodiment 2
[0109] see Figure 7 , is a flow chart of another embodiment of a method for controlling a robotic arm based on Leap Motion provided by an embodiment of the present invention.
[0110] The method for controlling the mechanical arm based on Leap Motion provided by the embodiment of the present invention includes the following steps:
[0111] S100: The Leap Motion device collects hand motion data in real time, and extracts characteristic parameters of the hand motion data.
[0112] S1021: The Leap Motion device collects hand motion data in real time, and extracts palm coordinates and hand offset flip angles according to the hand motion data.
[0113] S1022: Convert the palm coordinate value and hand offset flip angle into motion parameters of the robotic arm.
[0114] The spatial position of the robotic arm is determined based on Leap Motion. Because Leap Motion has powerful gesture data capture capabilities, it can detect spatially accurate data including palms, wrists, forea...
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