Techman Robot marked its 10th anniversary at Automatica 2025 in Munich with a presentation of three artificial intelligence-driven robotic applications aimed at enhancing automation in manufacturing environments. The Taiwan-based collaborative robotics manufacturer showcased AI-based systems for inspection, palletizing, and welding tasks, emphasizing advancements in automation efficiency and deployment flexibility.
One of the systems, described as a Flying Trigger inspection solution, is designed for real-time defect detection during the high-speed movement of components, such as automotive seats. It utilizes AI algorithms in conjunction with vision-guided positioning, which the company claims reduces inspection time by 40 to 50 percent. Techman Robot states that this technology has already been implemented in the automotive and electronics sectors. Additionally, the system uses NVIDIA’s Omniverse platform to simulate operational environments prior to deployment, with the goal of reducing downtime and accelerating system integration.
In warehouse and logistics settings, the company’s new TM25S collaborative robot facilitates mixed case depalletizing through AI-powered object recognition. This model supports payloads up to 30 kilograms and integrates onboard vision systems with external 3D cameras to identify and manage variously stacked boxes. The robot is equipped with obstacle avoidance and trajectory optimization features to handle complex packaging configurations.
The AI welding solution, powered by the TM6S cobot, is designed for applications requiring precision and extended reach. The robot features an 1800-millimeter reach and supports a payload of 6 kilograms. It includes a visual positioning system and can be extended with optional rotational axes to accommodate different welding angles and compensate for part misalignment. This solution targets industries such as automotive, metalworking, and machinery.
Techman Robot also introduced RobCraft, a hand gesture-based robot teaching interface developed with partner Bortfellow. This system allows operators to direct robot movement without programming or CAD input, using gesture recognition that adapts to different hand types and skin tones. The company positions this tool as a means to lower the entry barrier to automation for tasks such as polishing and path guidance.
