Multi-degree-of-freedom simulation chewing robot and control method
A chewing robot, a degree of freedom technology, applied in general control systems, control/adjustment systems, testing of machines/structural components, etc., to improve reliability and authenticity, achieve simulation, and assist in the performance testing of oral prostheses
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Embodiment 1
[0043] The first aspect of the present invention provides a multi-degree-of-freedom simulation chewing robot, such as figure 1 As shown, it includes an upper jaw simulation component 1 , a lower jaw simulation component 2 , a dental model fixing component 3 and a fixing frame 4 .
[0044] Such as figure 2 As shown, the maxillary simulation assembly includes a maxillary platform 201 and a plurality of linkage mechanisms 202 that drive the movement of the upper jaw platform. A coupling 204 is arranged, and the other end of the coupling 204 is matched with a drive motor 205, and the drive motor 205 is fixed with a plurality of guide rods 207 through a fixed block 206, and the guide rod 207 is connected with the trapezoidal screw lead screw. 203 are arranged in parallel, the linkage mechanism 202 also includes a slider 208, the slider 208 is provided with a threaded hole and a plurality of guide holes, the threaded hole is used to connect the trapezoidal thread screw 203, the gu...
Embodiment 2
[0057] The second aspect of the present invention provides a multi-degree-of-freedom simulated chewing robot control method, which is applied to any one of the multi-degree-of-freedom simulated chewing robots, characterized in that, as Figure 9shown, including the following steps:
[0058] S102: Acquire mechanism coordinate position information, and establish a global coordinate system;
[0059] S104: Analyzing the kinematic relationship among various parts of the mechanism, establishing a kinematic model, and generating kinematic model information;
[0060] S106: Analyzing the forward and reverse solutions of the kinematics model, and determining the pose relationship of each mechanism;
[0061] S108: Establish the workspaces of each institution and generate work models;
[0062] S110: Comparing the working model with a preset model to obtain a deviation rate;
[0063] S112: Determine whether the deviation rate is greater than a preset deviation rate threshold;
[0064] ...
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