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Autonomous Mobile Robots (AMRs) require more than basic motor control. They need to process multiple sensor inputs, perform real-time AI inference, run SLAM algorithms, and make navigation decisions in dynamic environments. For this project, KICKPI developed a high-performance RK3588 robot
Introduction As robotic lawn mowers move toward more intelligent and autonomous operation, traditional navigation and control architectures are increasingly unable to meet the requirements of outdoor environments. For a recent robotic mower ODM project, KICKPI developed an embedded control solution
As inspection robots are increasingly used in power, industrial, and smart facility applications, the ability to process multiple sensor streams and perform AI analysis locally has become increasingly important. KICKPI developed an RK3588-based AI inspection robot control board integrating multi-camera
Project Overview For power distribution and smart grid applications, reliable field data acquisition is essential for monitoring electricity meters, sensors, and other electrical equipment. In this project, KICKPI developed a custom embedded board based on the Allwinner T113-S3 for a
