Explore MATLAB source code curated for "多模态" with clean implementations, documentation, and examples.
Lamb wave dispersion curves exhibit multimodal characteristics with symmetric and antisymmetric modes, making conventional analysis methods highly complex. This MATLAB program effectively computes dispersion curves using numerical solution approaches, solving a significant challenge for researchers in this field. The implementation employs root-finding algorithms to handle the transcendental dispersion equations.
Application Background: This code is designed for robotic grasp learning, enabling robots to determine optimal grasping strategies (e.g., grasping a cup by its body vs. handle). It utilizes multimodal data including cups, remote controls, and cameras to train neural networks in grasp decision-making. Implemented in MATLAB with detailed post-extraction instructions. Key Technologies: Includes a comprehensive README file detailing usage procedures and downloadable training datasets. Core training is executed through trainGraspRecMultiSparse.m in recTraining folder, implementing sparse multimodal network architecture for grasp preference learning.