标题： 元-ROS：适应性和可扩展机器人系统的下一代中间件架构 显示英文标题

标题： Meta-ROS: A Next-Generation Middleware Architecture for Adaptive and Scalable Robotic Systems

摘要： 机器人领域面临着与现有中间件框架（如ROS2）的复杂性和互操作性相关的重大挑战，这对于新开发人员来说可能难以采用。 为了解决这些问题，我们提出了Meta-ROS，一种新颖的中间件解决方案，旨在通过简化集成、提高性能并确保跨平台兼容性来简化机器人开发。 Meta-ROS利用现代通信协议，如Zenoh和ZeroMQ，以在各种硬件平台上实现高效且低延迟的通信，同时支持多种数据类型，如音频、图像和视频。 我们通过全面的测试评估了Meta-ROS的性能，并将其与现有的中间件框架（如ROS1和ROS2）进行了比较。 结果表明，Meta-ROS优于ROS2，实现了高达30%的更高吞吐量，显著降低了消息延迟，并优化了资源使用。 此外，其强大的硬件支持和以开发者为中心的设计促进了无缝集成和易用性，使Meta-ROS成为现代实时机器人AI应用的理想解决方案。 显示英文摘要

摘要： 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.