SEMIFIVE and Mobilint Collaborate on Custom AI Semiconductor for Autonomous Agricultural Robotics
SEMIFIVE and South Korean semiconductor firm Mobilint entered into a turnkey development contract to create an AI chip for robotics applications as part of Korea's government-backed K-On-Device AI program. The custom silicon will integrate advanced technologies including LPDDR6 memory, PCIe Gen6 interfaces, and UCIe chiplet interconnects to enable autonomous operation in outdoor environments with limited connectivity, targeting agricultural and environmental sensing use cases. The engagement follows SEMIFIVE's Spec Hand-off model, allowing the customer to define performance targets while SEMIFIVE manages the full design-to-production pipeline.
SEMIFIVE and Mobilint are partnering to design a specialized processor that enables robots to make intelligent decisions independently, without relying on cloud connections. This capability proves essential for agricultural machinery operating in remote fields where internet access is unreliable or unavailable. The effort benefits from South Korean government funding aimed at strengthening the nation's semiconductor industry through partnerships between chip designers and the companies that will ultimately use their products.
The new chip incorporates three key technical components working in concert: advanced memory architecture for rapid data access, high-speed data pathways for quick communication between components, and chiplet technology that combines specialized processors into a single functional unit. Together, these elements allow the system to process visual and sensor information from farming equipment in real time while consuming minimal power.
This development could accelerate adoption of autonomous agricultural robots by removing a significant technical barrier—the need for constant network connectivity. Farmers in underserved regions may gain access to labor-saving technology previously limited by infrastructure constraints. The collaboration model may also influence how governments and private companies jointly fund semiconductor research, potentially creating pathways for similar region-specific AI hardware development elsewhere.