Combining AI and Precision Pneumatic for Smarter Industrial Robotics

In the era of Industry 4.0, robotic grippers are evolving from static actuators to adaptive intelligent systems.
To safely and accurately handle different materials, these systems must dynamically adjust grip force in real time—requiring both advanced sensing and precise pressure control.

That’s where the combination of NVIDIA Jetson edge AI platform and Kao Lu’s high-resolution proportional pressure regulator comes in.

The Challenge: Gripping with Intelligence, Not Force

Traditional pneumatic systems rely on fixed air pressure, leading to:

• Over-gripping and product damage

• Poor handling of variable sizes or softness

• Manual adjustment and lack of automation

An AI-enhanced grip control system solves this by:

1. Using a camera + Jetson for object recognition

2. Running real-time AI inference to determine required force

3. Sending dynamic control signals to a proportional valve

4. Precisely adjusting air pressure to match each object

 KaoLu's Proportional Pressure Regulator: Designed for AI Precision

KaoLu  offer proportional valves built for AI-driven applications:

 These valves can be used in closed-loop feedback systems with pressure sensors for even more accuracy.

 Work with Kao Lu!

Looking to build the next generation of intelligent grippers?

Kao Lu offers:

• Industrial-grade proportional pressure regulators
• Jetson-compatible control interfaces

• Technical support for smart automation integration