Robot for Remote Embedded Design

MikroE is revolutionizing the world of embedded design with the development of a cutting-edge robotic system as part of its Planet Debug platform. This innovative system aims to provide a fully automated development platform for embedded designs, offering developers unprecedented flexibility and efficiency.

The MikroE Planet Debug system is a game-changer in the industry, providing developers with access to a development board equipped with a choice of microcontrollers and up to five Click boards. These Click boards offer a wide range of peripherals, allowing developers to experiment with different combinations and configurations from anywhere in the world. Renesas, a major semiconductor vendor, is the first to embrace this groundbreaking technology.

One of the key features of the MikroE system is the in-house AI model integrated into the NECTO IDE. This AI model provides developers with access to software libraries for the boards and code compilers for the microcontrollers. Additionally, the embedded Wiki feature enables developers to build custom projects directly from a vast repository of 1.7 million projects, streamlining the development process.

The robotic system developed by MikroE is a game-changer in the industry, allowing developers to easily swap out Click boards and central processors to assess different combinations of peripherals. The NECTO development platform supports six architectures for microcontrollers and 12 compilers, while the vast selection of over 1900 Click boards in 255 categories ensures compatibility and versatility.

According to Neb Matic, CEO of MikroElektronika, the robotic system is a significant time-saver for engineers, as it can suggest multiple combinations of peripherals and automatically generate the necessary code. This innovative approach streamlines the development process and allows developers to quickly identify the most suitable configuration for their needs.

Looking ahead, MikroE is focused on further enhancing its AI capabilities to enable high-level AI that can take specifications, define the required Click boards, generate code, and test various setups remotely in the Planet Debug system. This advanced AI functionality is expected to significantly reduce development time for embedded projects and drive innovation in the industry.