1. Sriya-AI models can benefit the robotics industry by predicting the robustness of robotic systems.
  2. The dataset used in this study has 100,000 records with 1 Categorical Feature and 29 Numerical Features.
  3. Regression models were created using Sriya-ML techniques like Lasso, Random forest, XGBoost, Multilayer Perceptron, and Recurrent Neural Network.
  4. Performance measurement values were obtained for feature sets of 7, 14, 21, and 26.
  5. 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.