ARK Spray-Painting Robot

Combines visual, temperature, humidity and air-pressure data to capture painting-environment parameters in real time and guide intelligent path planning for stable operation in complex environments.

Using multimodal sensor data, ARK overcomes harsh booth conditions, complex vehicle surfaces and overexposed reflective paint to reconstruct vehicles in 3D at millimeter precision.

Uses 3D reconstruction to adjust painting paths in real time, balancing efficiency and quality for precise movement. Painting targets can be identified within 10 minutes.

Digital-twin technology simulates the entire painting process in a virtual environment, anticipates potential issues and validates process feasibility so the real operation succeeds the first time.

Monitors the live operation, compares it with the planned path, and automatically corrects robot trajectories and parameters to keep execution aligned with the plan.

Combines Enoch’s accumulated paint data with intelligent algorithms to control spray volume precisely and reduce material waste.

Cameras and vision algorithms identify runs, missed spray and dry spray in real time, trigger alerts and corrections, and prevent quality defects at the source.