AZoRobotics on MSN

New analytical method makes hybrid soft-rigid robot simulations up to 1000× faster

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

OBGYN Specialists of Columbus Educates Women on BHRT Basics: Insurance, Costs, and What to Expect with BioTE

COLUMBUS, GA, UNITED STATES, March 3, 2026 /EINPresswire.com/ -- OBGYN Specialists of Columbus is helping women better ...
Electronic Design

“Reinforcement Learning” Fuels the Rise of Adaptive Controllers

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
IEEE

Learning-Based Model Predictive Control With High-Probability Safety Using Gaussian Mixture Models

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
IEEE

Model Predictive Current Control With Adaptive Neural Network-Based Sliding Mode Observer for IPMSM

Abstract: This study presents a novel model predictive current control (MPCC) strategy for an interior permanent magnet synchronous motor (IPMSM) drive. The proposed MPCC integrates a sliding mode ...