A Systematic Literature Review of DDS Middleware in Robotic Systems DOI Creative Commons

Muhammad Liman Gambo,

Abubakar Danasabe,

Basem Almadani

et al.

Robotics, Journal Year: 2025, Volume and Issue: 14(5), P. 63 - 63

Published: May 14, 2025

The increasing demand for automation has led to the complexity of design and operation robotic systems. This paper presents a systematic literature review (SLR) focused on applications challenges Data Distribution Service (DDS)-based middleware in robotics from 2006 2024. We explore pivotal role DDS facilitating efficient communication across heterogeneous systems, enabling seamless integration actuators, sensors, computational elements. Our identifies key various domains, including multi-robot coordination, real-time data processing, cloud–edge–end fusion architectures, which collectively enhance performance scalability operations. Furthermore, we identify several associated with implementing such as security vulnerabilities, requirements, complexities transmission. By analyzing recent advancements case studies, provide insights into potential overcome these while ensuring robust reliable dynamic environments. aims contribute transformative impact DDS-based robotics, offering comprehensive overview its benefits, applications, implications. findings underscore necessity continued research development this area, paving way more resilient intelligent systems that operate effectively real-world scenarios. not only fills existing gaps but also serves foundational resource researchers practitioners seeking leverage implementation next-generation solutions.

Language: Английский

A Systematic Literature Review of DDS Middleware in Robotic Systems DOI Creative Commons

Muhammad Liman Gambo,

Abubakar Danasabe,

Basem Almadani

et al.

Robotics, Journal Year: 2025, Volume and Issue: 14(5), P. 63 - 63

Published: May 14, 2025

The increasing demand for automation has led to the complexity of design and operation robotic systems. This paper presents a systematic literature review (SLR) focused on applications challenges Data Distribution Service (DDS)-based middleware in robotics from 2006 2024. We explore pivotal role DDS facilitating efficient communication across heterogeneous systems, enabling seamless integration actuators, sensors, computational elements. Our identifies key various domains, including multi-robot coordination, real-time data processing, cloud–edge–end fusion architectures, which collectively enhance performance scalability operations. Furthermore, we identify several associated with implementing such as security vulnerabilities, requirements, complexities transmission. By analyzing recent advancements case studies, provide insights into potential overcome these while ensuring robust reliable dynamic environments. aims contribute transformative impact DDS-based robotics, offering comprehensive overview its benefits, applications, implications. findings underscore necessity continued research development this area, paving way more resilient intelligent systems that operate effectively real-world scenarios. not only fills existing gaps but also serves foundational resource researchers practitioners seeking leverage implementation next-generation solutions.

Language: Английский

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