Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Most legal technology shifts do not announce themselves with trumpets. They slip into ordinary practice first. Email was once ...

Abstract: This paper proposes a novel cooperative coevolutionary algorithm (CCEA)-based distributed model predictive control (MPC) that guarantees asymptotic stability of multiagent systems whose ...

Abstract: This article presents a sparse, low-memory footprint optimization algorithm for the implementation of model predictive control (MPC) for tracking formulation in embedded systems. This MPC ...

Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ISR platforms, battlefield decision-support engines, predictive logistics tools, ...

This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments. For additional details, please ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

This paper presents a novel visual-admittance-based model predictive control scheme to cope with the problem of vision/force control and several constraints of a nuclear collaborative robotic visual ...