This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

BMPC is a model-based reinforcement learning algorithm built on TD-MPC2’s world model, designed to enhance policy learning through expert iteration. BMPC leverages Model Predictive Control (MPC) to ...

Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...

Abstract: Event-triggered model predictive control (eMPC) is a popular optimal control method with an aim to alleviate the computation and/or communication burden of MPC. However, it generally ...

Paulson School of Engineering and Applied Sciences (SEAS) created an AI-powered control system that allows quadruped robots ...

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today, there are two main ways to program these walking, or legged, robots. The ...

Robbyant, an embodied AI company within the Chinese Ant Group, has unveiled LingBot-VA 2.0, ...

Moving with the speed and agility of an insect, the tiny robot could someday assist in search-and-rescue missions.

A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...

Researchers have built a tool to uncover hidden issues in the massive datasets used to train medical AI. The tool searches ...

Say hello to the facelifted 2027 Mercedes-Maybach GLS 680, which features a new engine, has updated looks, and a techier ...