Force feedback simulation data generation method and force feedback simulation system

Abstract

The invention discloses a force feedback simulation data generation method and a force feedback simulation system. The method comprises the following steps: training a sample graph to obtain a sample model and an image characteristic value of a sample; acquiring the force value of each acquisition point in the current acquisition array, and generating a current image of the detection array according to the gray value of each acquisition point; and obtaining an image feature value of the current image; and obtaining force feedback simulation data of each contact in the tactile feedback array according to the sample graph, the gray value of each collection point and the distribution characteristics of each collection point in the current detection matrix; and constructing a sample graph through the CNN convolutional neural network, and generating a current image feature value of the current gray scale graph according to the current multiple collection points; and simulating a current action according to the sample graph through a matching result of the current image characteristic value and the sample image characteristic value. For a model with many object details, a large acquisition area and high simulation acquisition data precision, the simulation precision and accuracy of the model can be ensured while the performance of a processor is not improved.

Description

technical field [0001] The invention belongs to the field of machine learning and system simulation, and is particularly applied to the simulation scene of force feedback, and particularly relates to a method for generating force feedback simulation data and a force feedback simulation system. Background technique [0002] When the system simulation scene is restored, the feedback force in the simulation area is simulated and output through the simulated force feedback lattice. In order to ensure the accurate simulation of each feedback point, the multi-point force collection method is often used to collect the force state of the simulation object. When the simulation object has many acquisition details, the acquisition area is large, or the accuracy of the simulation acquisition data is high, it is necessary to set hundreds or thousands of force acquisition points on the simulation object. When the number of collection points is large, due to the limitation of processor pe...

AI Technical Summary

Problems solved by technology

When the number of collection points is large, the collection data cannot be accurately processed within the set time due to the limitation of processor performance, which cannot meet the needs of force feedback data generation

Images