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Published
9 April 2026
Written by Yunus Unal Mechatronics Engineer and Content Specialist
Yunus is a mechatronics engineer with a background in 5G mobile communications and intelligent embedded systems. Before joining TKO and ipXchange, he developed and tested IoT and control-system prototypes that combined hardware design with embedded software. At ipXchange, Yunus applies his engineering knowledge and creative approach to produce technical content and product evaluations.
At Embedded World 2026, Edge Impulse used a friendly robot called Richie to show a simple idea: AI robot development should be easier.
The demo brought together robotics hardware, Edge Impulse model training, and Arduino deployment in one workflow. Some features, such as face detection, ran locally on the device, while speech functions used the cloud.
The main message was clear. Many AI projects still use fragmented tools for training and deployment. Edge Impulse wants to reduce that complexity by helping developers train models once and deploy them across different hardware targets.
With support for outputs such as C++ libraries and ROS tools, the platform makes it easier to move from idea to working robot. For developers building AI products, that means faster testing, faster learning, and a smoother path to deployment.
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