Abstract: This paper explores the application of Iterative Learning Control (ILC) in enhancing lateral tracking of autonomous vehicles. A kinematic bicycle model ...

Abstract: This paper studies the iterative learning control with prescribed performance (namely, prescribed iterative learning control, P-ILC) for switched systems, aiming to plan the dynamic and ...

Adult learning theory is a manual for classroom diplomacy, not a map of the mind. Walk into any corporate leadership retreat or faculty development workshop, and you will encounter a familiar set of ...

“Coercive control” is the term for a diabolical relationship pattern that can have devastating consequences. It occurs when one person unreasonably interferes with another person’s free will and ...

Anthropic’s new Economic Index report, published on January 15, 2026, provides updated data on translation-related usage of its Claude models, alongside signals around how translators interact with AI ...

Many nonprofits in low- and middle-income countries face a critical mismatch: urgent social problems demand rapid program iteration, yet organizations often wait years for externally-produced ...

Aave's community members and participants have become sharply divided in recent weeks over control of the protocol’s brand and related assets, intensifying an ongoing dispute over the relationship ...

It’s called Control Resonant, and it brings the supernatural threat to Manhattan. It’s called Control Resonant, and it brings the supernatural threat to Manhattan. is an entertainment editor covering ...

Lior Weinstein is a fractional CTO/CRO and founder of CTOx, coaching tech executives to multiply their impact as fractional leaders. Two CEOs face the same market opportunity. Both see the potential, ...

This repository contains the official implementation of the Iterative Compositional Data Generation pipeline, as well as the compositional transformers architectures and multi-task RL training scripts ...

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.