Meta-ROS提升机器人系统通信效率与兼容性，助力AI应用落地。
Meta-ROS: A Next-Generation Middleware Architecture for Adaptive and Scalable Robotic Systems
- 采用Zenoh、ZeroMQ等协议实现跨平台低延迟通信
- 性能超越ROS2，吞吐量高30%，延迟显著降低
- 适合需要实时性与易用性的现代机器人AI开发
机器人领域面临现有中间件框架（如ROS2）复杂且互操作性差的问题，新开发者难以上手。为此，我们提出Meta-ROS，一种新型中间件架构，通过简化集成、提升性能并保障跨平台兼容性，加速机器人开发。该方案采用Zenoh、ZeroMQ等现代通信协议，实现音频、图像、视频等多种数据类型在异构硬件间的高效低延迟传输。通过与ROS1、ROS2的全面对比测试，结果表明Meta-ROS在吞吐量上较ROS2最高提升30%，消息延迟显著降低，资源利用率更优。其强大的硬件支持与开发者友好设计，使其成为现代实时机器人AI应用的理想选择。
原文摘要 · Abstract (English)
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.
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