Aitor Hernandez Herranz

ORCID: 0000-0002-8799-1577
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Robotics and Automated Systems
  • Modular Robots and Swarm Intelligence
  • Cloud Computing and Resource Management
  • Business Process Modeling and Analysis
  • Blockchain Technology Applications and Security
  • Software-Defined Networks and 5G
  • Systems Engineering Methodologies and Applications

Ericsson (Sweden)
2019-2025

Cyber–physical systems are created at the intersection of physical processes, networking, and computation. For applications developed to implement cyber–physical interactions, in face limited resources, an optimization efficiency needs be handled across all entities—communication, computing, control. This gives rise emerging area “co-design” that addresses challenge designing or control, communication, compute when these domains can should no longer considered fully independent. In this...

10.3390/electronics14050864 article EN Electronics 2025-02-21

Container orchestration platform is the foundation of modern cloud infrastructure. In recent years, container has been evolving to cross boundary device, edge, and cloud. More more IoT applications such as robotics XR have deployed across device-cloud continuum through platform, e.g., Kubernetes (K8s) framework. Meanwhile, rapid expansion advanced communication technologies like 5G endorsed revolution in network resource available for critical use cases. This paper aims integrate...

10.1109/cloudcom59040.2023.00023 preprint EN arXiv (Cornell University) 2024-03-08

Cloud native technologies have been observed to expand into the realm of Internet Things (IoT) and Cyber-physical Systems, which an important application domain is robotics. In this paper, we review cloudification practice in robotics from both literature industrial perspectives. We propose RoboKube, adaptive framework that based on Kubernetes (K8s) ecosystem set up a common platform across device-cloud continuum for deployment cloudified Robotic Operating System (ROS) powered applications,...

10.1109/icara60736.2024.10552996 article EN 2024-02-22

The Internet of Things (IoT) is penetrating almost all sectors the global economy, addressing a wide range opportunities by applying different Artificial Intelligence (AI) tools to IoT data. Due diversity in challenges and applications, solutions are often bespoke highly domain specific. With surge this approach becomes very costly time consuming if there lack reusability replicability across sectors. This work presents step towards solution components applied Industrial (IIoT). We start...

10.1109/giots.2019.8766398 article EN 2019-06-01

Cloud native technologies have been observed to expand into the realm of Internet Things (IoT) and Cyber-physical Systems, which an important application domain is robotics. In this paper, we review cloudification practice in robotics from both literature industrial perspectives. We propose RoboKube, adaptive framework that based on Kubernetes (K8s) ecosystem set up a common platform across device-cloud continuum for deployment cloudified Robotic Operating System (ROS) powered applications,...

10.1109/icara60736.2024.10552996 preprint EN arXiv (Cornell University) 2024-03-07

Container orchestration platform is the foundation of modern cloud infrastructure. In recent years, container has been evolving to cross boundary device, edge, and cloud. More more Internet Things (IoT) applications such as robotics eXtended Reality (XR) have deployed across device-cloud continuum through platform, e.g., Kubernetes (K8s) framework. Meanwhile, rapid expansion advanced communication technologies like 5G endorsed revolution in IoT network resource available for critical use...

10.1109/cloudcom59040.2023.00023 article EN 2023-12-04
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