Taiwan’s Techman Robot launches AI-powered robot to boost manufacturing

台灣達明機器人（Techman Robot）推出AI機器人，協助製造業發展

TAIPEI (Taiwan News) — Techman Robot, under the Quanta Group, has launched a new AI-powered collaborative robot to enhance smart manufacturing in sectors such as semiconductor and electronics.

David Huang (黃鐘賢), director of the vision application department, said the company's robot vision software team collaborates with hardware and electrical engineers to manage the robot arms and their vision sensing functions. Techman also offers system integration services to help factory operators streamline production line setup, per CNA.

Huang noted that Techman’s collaborative robots undergo 24/7 testing, including heavy lifting, twisting motions under load, and multi-angle movements, to verify their performance and reliability in production settings. The company has also developed a monitoring system to track robot operations and apply big data analytics to evaluate test results.

To improve the robots’ perception, the company created AI-powered vision technology. Through a simple interface, the robot’s sensors can collect images used to train AI models, which then directly control the robot arms.

Huang highlighted that this AI vision technology gives robots built-in quality inspection capabilities. It enables them to automatically identify issues during the manufacturing process and to self-adjust their range of motion, force, and angles in real-time.

Techman said that its collaborative robots are used in key areas of high-tech manufacturing. In wafer foundries, they are used for handling wafer boxes. In the electronics sector, the robots perform tasks such as printed circuit board assembly, AI server inspection, and semiconductor packaging testing.

Huang added that Techman has also adopted Nvidia Omniverse, a digital twin platform that simulates and analyzes real-world production systems. It replicates robot operations in a 3D virtual environment based on production line models, enabling an AI-powered system to train the robots to better understand the factory environment.

Looking ahead, the company is developing a hardware and software integration solution for humanoid robots. This system combines generative AI, digital twins, and wearable devices, such as virtual reality, to enable the robots to learn human body movements.