Sriya-AI models can benefit the robotics industry by
predicting the robustness of robotic systems.
The dataset used in this study has 100,000 records with 1
Categorical Feature and 29 Numerical Features.
Regression models were created using Sriya-ML techniques like
Lasso, Random forest, XGBoost, Multilayer Perceptron, and
Recurrent Neural Network.
Performance measurement values were obtained for feature sets
of 7, 14, 21, and 26.
The Sriya-AI algorithms were able to predict the Robustness
with an average accuracy between 55% – 67% and helped to
identify factors that determine the Robustness.