Meta-ROS: A Next-Generation Middleware Architecture for Adaptive and Scalable Robotic Systems
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910004282392576 |
|---|---|
| author | Ranjan, Anshul Damodar, Anoosh Chougule, Neha Nayak, Dhruva S N, Anantharaman P. S, Shylaja S |
| author_facet | Ranjan, Anshul Damodar, Anoosh Chougule, Neha Nayak, Dhruva S N, Anantharaman P. S, Shylaja S |
| contents | The field of robotics faces significant challenges related to the complexity and interoperability of existing middleware frameworks, like ROS2, which can be difficult for new developers to adopt. To address these issues, we propose Meta-ROS, a novel middleware solution designed to streamline robotics development by simplifying integration, enhancing performance, and ensuring cross-platform compatibility. Meta-ROS leverages modern communication protocols, such as Zenoh and ZeroMQ, to enable efficient and low-latency communication across diverse hardware platforms, while also supporting various data types like audio, images, and video. We evaluated Meta-ROS's performance through comprehensive testing, comparing it with existing middleware frameworks like ROS1 and ROS2. The results demonstrated that Meta-ROS outperforms ROS2, achieving up to 30% higher throughput, significantly reducing message latency, and optimizing resource usage. Additionally, its robust hardware support and developer-centric design facilitate seamless integration and ease of use, positioning Meta-ROS as an ideal solution for modern, real-time robotics AI applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_21011 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Meta-ROS: A Next-Generation Middleware Architecture for Adaptive and Scalable Robotic Systems Ranjan, Anshul Damodar, Anoosh Chougule, Neha Nayak, Dhruva S N, Anantharaman P. S, Shylaja S Robotics Multiagent Systems Operating Systems Software Engineering 93A16 (Primary) 97P30, 93A10 (Secondary) D.4.1; C.5.5 The field of robotics faces significant challenges related to the complexity and interoperability of existing middleware frameworks, like ROS2, which can be difficult for new developers to adopt. To address these issues, we propose Meta-ROS, a novel middleware solution designed to streamline robotics development by simplifying integration, enhancing performance, and ensuring cross-platform compatibility. Meta-ROS leverages modern communication protocols, such as Zenoh and ZeroMQ, to enable efficient and low-latency communication across diverse hardware platforms, while also supporting various data types like audio, images, and video. We evaluated Meta-ROS's performance through comprehensive testing, comparing it with existing middleware frameworks like ROS1 and ROS2. The results demonstrated that Meta-ROS outperforms ROS2, achieving up to 30% higher throughput, significantly reducing message latency, and optimizing resource usage. Additionally, its robust hardware support and developer-centric design facilitate seamless integration and ease of use, positioning Meta-ROS as an ideal solution for modern, real-time robotics AI applications. |
| title | Meta-ROS: A Next-Generation Middleware Architecture for Adaptive and Scalable Robotic Systems |
| topic | Robotics Multiagent Systems Operating Systems Software Engineering 93A16 (Primary) 97P30, 93A10 (Secondary) D.4.1; C.5.5 |
| url | https://arxiv.org/abs/2601.21011 |