Abstract: The robot joint motors have the characteristics of small size and low inertia, which makes them easily affected by external disturbances. Existing methods for disturbance rejection are ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Abstract: Model predictive control (MPC) is widely used for battery converter charging control due to its strong capability to explicitly handle multiple objectives and complex constraints in real ...

World Models (WMs) are a central framework for developing agents that reason and plan in a compact latent space. However, training these models directly from pixel data often leads to ‘representation ...

Part 2 of modeling Faraday’s Law using Python. This tutorial explores electromagnetic induction through code and simulation to better understand changing magnetic fields and induced currents. #physics ...

Part 1 of a Python based simulation that models Faraday’s Law. Learn how electromagnetic induction can be visualized and studied using simple programming techniques. #physics #faradayslaw ...