Techman Robotics Unveils Robot Vision Sensing Strategy, Enabling Physical AI to Move from Virtual Validation to Production Lines

The 2026 Robotics and Smart Automation Expo kicked off today (19th), setting a new record in scale with 886 domestic and international leading enterprises exhibiting across 3,506 booths. Techman (4585-TW) Robotics this year is deploying its Real–Sim–Real robot strategy, integrating built-in vision sensing and 3D environment reconstruction, automatic waypoint generation and rapid teaching, NVIDIA (NVDA-US) Omniverse™ simulation validation, and AI spatial positioning with real-world deployment, enabling simulation outcomes to be effectively applied in actual manufacturing settings.

While humanoid robots have recently gained rapid market attention, for the manufacturing sector, the true value lies in whether robots can safely and stably enter existing factories and complete real production tasks. At this year’s exhibition, Techman Robotics is focusing on four key applications under the core theme of 'SEE・THINK・ACT-Powered by AI Robotics': AI Smart Logistics, AI Semiconductor Smart Manufacturing, AI Electronic Inspection, and AI Agile Deployment.

Techman stated that this exhibition showcases its 'AI Dual Engine' strategy, linking AI collaborative robots (cobots) with the humanoid robot TM Xplore I. By sharing AI vision, VLA multimodal models, and robot learning capabilities, Physical AI (embodied AI) technologies developed through humanoid robots can be fed back into existing AI cobot applications, accelerating the cross-platform integration of intelligence across diverse manufacturing scenarios.

In the AI Smart Logistics zone, Techman’s robot TM Xplore I, positioned as 'Physical AI for Factory,' can complete in-factory logistics processes such as retrieving boxes from warehouses, transporting materials, and handoffs at workstations. Its compact body design allows passage through narrow corridors, reducing the need for extensive production line modifications in existing factories. Simultaneously, combining graphical operation with edge AI supports both fixed workflows and high-variability tasks.

Techman noted that simulation technology can reduce robot planning and testing risks. However, if equipment positions, workpiece conditions, or site environments differ from the virtual setup, on-site recalibration, teaching, and adjustments may still be required. The Sim-to-Real challenge isn’t merely transferring programs from virtual to physical robots, but ensuring simulation results execute accurately on real production lines.

Techman Robotics uses built-in vision sensing to perceive the real environment and reconstruct 3D scenes. In the simulation phase, it performs automatic waypoint generation, rapid teaching, and NVIDIA Omniverse™ simulation validation, then bridges to real-world deployment via AI spatial positioning—minimizing engineering gaps between virtual and real environments through the Real–Sim–Real deployment process.

As AI computing demands continue to grow, semiconductor and server equipment are advancing toward higher precision, density, and weight, presenting new automation challenges for manufacturers. Techman’s exhibited TM45S dual-arm server assembly application meets the demands of large servers and heavy workpieces, with a single-arm load capacity of up to 50 kg. Through dual-arm synchronized operation technology, the maximum load reaches 100 kg when both arms work together, enabling collaborative handling of large, heavy components that are difficult for single-arm robots. Using its built-in vision system for target positioning, it can automatically correct pick-and-place locations.

Techman stated that AI brings not only greater computational demands but also creates new manufacturing automation needs. From precise handling of advanced semiconductors to transporting and assembling large servers and electronic devices, robot load capacity, vision, and spatial understanding will play increasingly critical roles.

Huang Shih-Chung, COO of Techman, stated that today’s industries do not lack simulation tools—the real barrier is ensuring simulation results still perform correctly on real production lines. Techman Robotics’ Real–Sim–Real deployment process—from real-world perception and 3D reconstruction, simulation programming and validation, to AI spatial positioning and real-world deployment—ensures Physical AI delivers tangible value in manufacturing environments, not just in virtual simulations.

Techman stated it will continue deepening its capabilities in AI vision, 3D environment reconstruction, simulation validation, AI spatial positioning, and robot control, narrowing the engineering gap in Sim-to-Real transitions, advancing Physical AI from technical validation to real-world manufacturing, and accelerating intelligent deployment across more manufacturing scenarios through its dual-engine strategy of AI cobots and TM Xplore I.