The paper introduces PHP-AIO, a protocol for quantifying unpriced systemic risks in automation decisions using a five-gate sequential decision protocol.

Plover is a plan-centric vision-based GUI automation system that externalizes task plans and replanning as inspectable artifacts, enabling explicit supervision and localized correction.

A study comparing three automation conditions of a Smart Medication Support system for older adults, finding that higher automation does not always lead to higher trust or acceptance.

This paper proposes a distributed architecture for automating and controlling multi-vendor, multi-layer IP over DWDM networks using SDN, enabling end-to-end service lifecycle automation and closed-loo…

The paper presents an IoT-enabled smart home system using Raspberry Pi 5 and environmental sensors to automatically manage devices, achieving over 46% energy savings compared to always-on models.

This paper evaluates AI agent systems for electronic design automation (EDA) using a unified benchmark called FluxBench, assessing their performance across various EDA workflows and tasks.

This paper proposes an automated method to generate complete PDDL planning problems directly from Asset Administration Shell (AAS) capability models, eliminating the need for specialized planning expe…

The paper introduces Policy-First Tooling, a model-agnostic permission layer that significantly enhances the safety and reliability of tool-orchestrated AI workflows by enforcing explicit constraints…

Automation-Exploit is a multi-agent LLM framework that enables adaptive offensive security by using a digital twin to safely test and execute high-risk memory-corruption exploits on live targets.

The paper introduces APIOT, the first LLM framework capable of autonomously performing the full discovery, exploitation, patching, and verification cycle against bare-metal industrial OT devices.

This paper proposes Autogenic network management, a self-programming extension to agentic AI for next-generation network management in 6G networks.

The paper introduces an AI-driven autonomous testing framework that significantly improves web test reliability and drastically reduces test creation time, while also enabling natural-language-driven…

This paper proposes a definition for 'AI-nativeness' in systems, based on an AI agent's authority over system decisions.

The paper introduces Hyperparam, a set of lightweight JavaScript libraries designed to enable direct, model-aware querying of unstructured data (like agent traces) within client-side AI applications.

This paper introduces FASR, a tool that automates the identification of unsafe control actions (UCAs) in System-Theoretic Process Analysis (STPA) using model-based engineering and robustness analysis.

This paper proposes coupled egocentric control, a body-following teleoperation approach for whole-body robot control, improving efficiency, reducing effort, and increasing ease of use.

This paper evaluates the integration of Language Model Machines (LLMs) into control tasks in automotive contexts from a safety assurance perspective, identifying conceptual and concrete challenges.

The paper introduces AutoformBot, a multi-agent system that successfully autoformalizes a large corpus of open-access graduate-level mathematics textbooks into a verified library in Lean 4, demonstrat…