Abstract: This paper presents a data-driven iterative learning control (ILC) framework to tackle the critical challenge of achieving dynamic symmetry and trajectory coordination in multi-agent systems ...

This repository contains code for the paper: "Enabling Local Neural Operators to perform Equation-Free System-Level Analysis" G. Fabiani, H. Vandecasteele, S. Goswami, C. Siettos, I.G. Kevrekidis ...

CATArena (Code Agent Tournament Arena) is an open-ended environment where LLMs write executable code agents to battle each other and then learn from each other. CATArena is an engineering-level ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

WASHINGTON, DC - APRIL 30: President and CEO of Nvidia Jensen Huang speaks on AI at the return of American manufacturing at the Hill and Valley Forum at the U.S. Capitol on April 30, 2025 in ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

Multi-robot systems are increasingly deployed in complex, dynamic environments such as environmental monitoring, industrial automation, and search-and-rescue missions. The coordination of such systems ...

It looks like Massachusetts voters will get to weigh in on rent control in 2026. Supporters say they have more than enough signatures to put the issue on next year's ballot. Housing affordability is a ...

Abstract: Modeling hydraulic manipulators is inherently challenging, which significantly complicates controller design. Although iterative learning control leverages its data-driven capability to ...

Small wins, repeated daily, beat bursts of motivation. Here are 8 quiet habits that build unshakeable self-control—and long-term wins. Small wins, repeated daily, beat bursts of motivation. Here are 8 ...