New Possibilities in Robotics and Industrial Automation with AI

Artificial intelligence must replace legacy hand-crafted industrial control systems. By integrating visual intelligence and multi-sensor inputs with the ability to analyze long histories of sensor data, AI can make more effective control decisions.

The era of preprogrammed industrial robots operating within specially built safety enclosures has ended. Today's industrial robots must be AI-driven, capable of understanding natural language instructions, and able to operate within the same environments designed for humans. Industrial robots also must be physics-aware. Without this capability, their intelligence will be limited.

Why Qi Robotics and Automation Services

Our unique automation philosophy makes us different:
Physics-driven engineering: Robots and control systems must understand the underlying physics.

Efficient Edge AI: AI systems must be designed to run directly on robots and industrial equipment with minimal latency, reduced compute requirements, and high reliability.

Lightweight embedded AI hardware: Visual AI intelligence must be efficient and light weight to run in embedded hardware.

AI that leverages long histories of sensor data: AI models must be built to analyze extended past sensor streams to improve control, prediction, and decision quality.

Scenario-specific AI models: AI models must be small and scenario specific for efficiency and lower hardware cost.

Efficiency-first philosophy: A core focus on practical, efficient AI for robotics and industrial control systems—systems that are reliable, deployable, and optimized for real-world operation.

Contact us to learn more.