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The autonomic nervous system (ANS) is a critical component of the peripheral nervous system, primarily responsible for regulating involuntary bodily functions and maintaining homeostasis. It functions in tandem with the central nervous system (CNS) to seamlessly coordinate various physiological processes without the need for conscious control.
The ANS comprises two main divisions: the sympathetic and parasympathetic divisions. These divisions function antagonistically to maintain a dynamic...
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Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
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Mitochondrial protein import is powered by two distinct energy sources: ATP hydrolysis and electrochemical potential across the inner membrane. Newly synthesized precursors are bound by cytosolic chaperones of the Hsp70 family, which guide them to the import receptors on the mitochondrial surface. Utilizing the energy of ATP hydrolysis, Hsp70 chaperones transfer these precursors to the TOM receptors on the mitochondrial outer membrane.
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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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The human nervous system is divided into two main parts: the central nervous system (CNS) and the peripheral nervous system (PNS). The CNS is composed of the brain and spinal cord, while the PNS contains nerve cells, clusters of nerve cells, and the sensory receptors that are outside the CNS. The PNS has two types of nerve cells: sensory (afferent) and motor (efferent). Sensory cells send signals to the CNS from receptors, and motor cells carry signals from the CNS to organs, muscles, and...
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The autonomic nervous system (ANS) is an intricate network of nerves that controls functions such as the regulation of heart rate, digestion, and blood pressure regulation. When this system malfunctions, it can lead to various disorders that affect multiple bodily functions. One common feature of many autonomic disorders is the involvement of smooth blood vessels, which play a crucial role in regulating blood flow throughout the body.
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Updated: Jan 29, 2026

Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
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Arquitectura Basada en ROS 2 para Sistemas de Conducción Autónoma: Diseño e Implementación

Andrea Bonci1, Federico Brunella1, Matteo Colletta1

  • 1Department of Information Engineering, Marche Polytechnic University, 60131 Ancona, Italy.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Resumen

Se desarrolló una nueva arquitectura de software para vehículos autónomos (VA) utilizando ROS 2. Este diseño modular garantiza el rendimiento en tiempo real y la seguridad para escenarios complejos de conducción urbana.

Palabras clave:
IA en el bordeROS 2vehículos autónomossistemas embebidosrobótica móvil

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Área de la Ciencia:

  • Robótica
  • Ingeniería de Software
  • Sistemas Autónomos

Sus antecedentes:

  • El creciente interés en la adopción de vehículos autónomos (VA) requiere arquitecturas de software avanzadas.
  • El desarrollo actual de VA enfrenta desafíos para cumplir con las demandas de tiempo real, seguridad y escalabilidad con sistemas heterogéneos.

Objetivo del estudio:

  • Presentar una arquitectura de software ligera, modular y escalable para vehículos autónomos.
  • Aprovechar los principios de Arquitectura Orientada a Servicios (SOA) y ROS 2 para sistemas de VA robustos.

Principales métodos:

  • Se implementó una Arquitectura Orientada a Servicios (SOA) utilizando ROS 2, centrándose en un diseño en capas modular de Percepción, Planificación y Control.
  • Se utilizó la Calidad de Servicio (QoS) del Sistema de Distribución de Datos (DDS) de ROS 2 para una comunicación fiable y contención de fallos.
  • Se empleó un núcleo de toma de decisiones impulsado por eventos con retención de orden cero para actualizaciones eficientes y no sincronizadas.

Principales resultados:

  • Validada la arquitectura en un vehículo autónomo a escala 1:10 en diversos escenarios urbanos.
  • La canalización de Percepción-Planificación cumplió consistentemente los plazos de tiempo real de peor caso, demostrando un comportamiento determinista bajo estrés.
  • Se logró el cumplimiento de los estándares de aplicaciones en tiempo real para el caso de uso de VA probado.

Conclusiones:

  • La arquitectura propuesta basada en ROS 2 proporciona una base sólida para el desarrollo y despliegue de sistemas de vehículos autónomos en tiempo real.
  • El diseño modular y basado en eventos aborda eficazmente las complejidades de la integración de hardware y software heterogéneos en los VA.
  • Esta arquitectura ofrece una solución escalable para futuros avances en la tecnología de conducción autónoma.