This paper presents a robot-agnostic compliant-control framework with standardized interfaces for ROS control ecosystem, enabling reusable infrastructure for various manipulators and diverse compliant…

This paper presents LightFARM, a predictive lighting control framework for energy-efficient indoor farming that combines finite-horizon predictive control with compact models of photosynthesis, therma…

This paper explores tools for control engineers to design socio-technical systems in a more principled and ethical manner, using feedback optimization, control of Markov decision processes, and model…

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…

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 demonstrates that standard homomorphic encryption (HE) schemes are insufficient to guarantee integrity in networked control systems (NCS) against covert attacks, proposing instead a verifiab…

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 studies AI development frameworks for software engineering and proposes a six-dimension process taxonomy.

This paper proposes novel high-order control barrier functions and a high-order control Lyapunov function for the optimal safety control problem of nonlinear control systems.

This paper proposes the trans-domain digital twin approach to connect heterogeneous domain twins through aligned shared state, explicit coupling, heterogeneous temporal coordination, joint decision-ma…

The paper introduces SAFT-GT, a comprehensive model-based toolchain designed to simultaneously analyze and enhance both the safety and security of complex, self-adaptive systems.

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.

Filament is a novel, compiler-agnostic static information-flow control (IFC) library for Rust that enables fine-grained, Denning-style tracking of both explicit and implicit data flows with minimal pr…

The paper proposes a generic memory framework for advanced static program analysis, supporting various memory behaviors from different programming languages using Abstract Interpretation theory.

The paper introduces KernelScript, a DSL for eBPF that types maps, program handles, and execution domains to unify cross-boundary relationships, prevent bugs at compile time, and reduce diff size.

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.