
The entire industrial control market has problems such as fragmented standards, closed protocols, and difficulty integrating IT and OT systems. There is an urgent need for a standardized, universal, highly stable, and reliable control solution that lowers the threshold for use so that non-industry technicians can easily operate and maintain it. This year, the new generation of the X5 industrial robot control platform launched by the Topstar Control Platform R&D Center is a core product that realizes full-chain autonomous control from the underlying hardware to upper-level software.
Integration and interaction of the new generation of X5 industrial robot control platform
At the technical architecture level, the new generation of X5 industrial robots adopts a cloud-edge-end architecture. By optimizing the coordination of cloud-side and edge-side computing resources, this architecture uploads the data collected by the end-side equipment to the cloud and edge in real time and accurately, providing strong, high-quality data support for accurate and rapid decision-making on the cloud and edge sides, and providing strong support for enterprises to optimize productivity and improve operational efficiency. At the same time, relying on the mighty computing power of the cloud-edge side, decision results, and intelligent control data can quickly empower the end-side data through the cloud-edge-end architecture, further improving the intelligence of the end-side equipment.
Intelligent large models are no longer limited to a few single data types in their training and reasoning process but must integrate multiple data resources such as images, videos, ultrasound, lidar, infrared, etc. Therefore, they can process and integrate fragmented data formats and efficiently send them to large models for training and reasoning.
More suitable for extremely high-requirement stable control scenarios
The hybrid deployment technology is used in the new generation X5 industrial robot control platform so that algorithm processing and preliminary data processing can be completed efficiently within the general operating system without affecting the stability and real-time operation of the industrial robot. This means that they can perform two tasks, industrial robot control, and data collection and processing, in a single controller, including compression and transmission of multimedia data such as images. In this way, industrial robots or other industrial equipment can use large models for real-time reasoning, allowing the physical world and the virtual world to merge seamlessly, making it suitable for stable control scenarios with extremely high requirements for accuracy and real-time performance.

Achieve integration with IT.
Although industrial protocols traditionally provide high real-time performance, they limit integration with IT. In order to better solve the problems of conventional equipment communication interface and system data compatibility and improve the efficiency of cross-platform data transmission, dynamic operation, and configuration, the X5 industrial robot control platform provides more intuitive and easy-to-use communication protocols such as Lua, Python, C#, open more than 400 functional interfaces, and support a variety of communication protocols such as free protocols and SDKs, further broadening the compatibility of industry data, effectively simplifying the data communication process, and significantly improving efficiency. Achieve smooth data interaction between large models and controllers.

AI and industrial applications
The X5 industrial robot control platform can support a variety of industrial robot models, such as six-axis industrial robots, SCARA, collaborative robots, parallel robots, and palletizing robots, which can meet more than 90% of the robot needs in the industrial field. The platform can make industrial robots smarter, better understand customer needs, and bring customers more efficient and intelligent production solutions. For example, in the robot palletizing scenario, the new generation of motion controller platforms combines large AI models. It takes advantage of code-free development to achieve efficient delivery, low-cost migration and reduced skill requirements for operation and maintenance personnel. Compared with traditional pure code development, the system simplifies the development process, and operators can quickly complete robot palletizing tasks in only three steps.
The Future of industrial robot and Control Platforms
The new generation of industrial robot control platforms combines artificial intelligence, cloud computing, and enhanced flexibility, enabling companies to meet the needs of modern manufacturing. It is not just a tool to control industrial robots but also a comprehensive solution that integrates advanced technology, precision, and flexibility into the core of industrial operations. In the future, Topstar will continue to explore the integration of IT and OT to bring more growth and innovation possibilities.
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