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AI Appreciation Day 2026 puts trust and governance in focus NVIDIA pours its full stack into Japan. The flip side of its China lockout? Malaysia's digital regulations are becoming a real cost for its startups Malaysia's AI data center vision: How EdgeConneX is building for the future Southeast Asia tech funding doubled to $7.4 billion. 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Taiwan robot makers march into humanoid systems
TechWire Asia · 2026-06-27 · via TechWire Asia

A Taiwanese technology company has presented its first humanoid robot, placing the firm among a group of local manufacturers trying to turn AI into machines that can work in factories, warehouses, and other physical settings.

TM Technology, which built its business in integrated circuit design, said the robot is part of a wider move into intelligent platforms. The company has also expanded into construction, green energy, and smart manufacturing with support from its parent company, Yinglin Group.

The robot combines hardware, software, sensing, and motion-control systems, according to the company. TM Technology said the machine is meant to operate in environments where it must understand its surroundings, plan movements and handle objects rather than repeat fixed industrial routines.

The launch comes as another Taiwanese robotics company, Techman Robot, has shown its TM Xplore I humanoid system at Nvidia GTC 2026 in San Jose. That robot, developed with QCT and Nvidia technology, points to a wider push by Taiwanese firms to connect robotics with edge computing, simulation tools, and factory automation.

Embodied AI moves from concept to machine

TM Technology described its humanoid as an embodied AI system, a term used for machines that connect AI with physical action. According to reports cited by Taiwan News, the robot uses AI, manufacturing techniques, biomimetic engineering, and sensing technology to work in settings that may change during operation.

The system has a layered architecture modelled on parts of the human nervous system. Its AI ‘brain’ is responsible for semantic understanding, reasoning, task planning, and decision-making. A separate ‘cerebellum’ subsystem manages balance, posture, locomotion, and coordinated movement, allowing the robot to move and handle tasks with stability.

The robot also uses a perception system that combines 3D vision, LiDAR, and force sensing. Those systems allow it to map its surroundings and recognise obstacles, plus respond to contact with objects or people. The company says the robot can use that information in real-time, which is important for work that cannot be handled through deterministic programming.

Its joints provide several degrees of freedom, while robotic hands allow it to grasp and manipulate objects. TM Technology said the machine can be used for transport, inspection, assembly, and other operations that require movement, judgement, and awareness of the surrounding environment.

The company framed the launch as part of a shift away from conventional hardware manufacturing and toward integrated intelligent systems. It expects the first deployments to be in factories and logistics sites, where robots can support work that is repetitive or labour-intensive. Later uses may include healthcare, care-giving, and household service, although those markets will require more testing, reliability, and safety work before broad deployment.

Techman focuses on factory use

Techman Robot’s TM Xplore I takes a different approach to humanoid design. Instead of using a bipedal lower body, the robot has a humanoid upper body mounted on a wheeled mobile base, intended to improve stability and reduce mechanical complexity in factory environments.

The robot uses autonomous navigation and dexterous manipulation. Techman said it can transport materials and perform precision tasks in sectors including semiconductor manufacturing, electronics assembly, and automotive production.

The system uses Nvidia’s Jetson Thor computing module for edge AI processing, which allows decision-making to take place on the machine rather than relying only on remote computing. It also uses Vision-Language-Action technology, so the robot can process visual and language inputs and convert them into physical actions.

Techman has tied the robot to Nvidia’s robotics software ecosystem. That includes Isaac Sim for simulation-based training and testing, FoundationStereo for depth perception, and Isaac GR00T for dexterity and autonomy, tools meant to help robots learn, test, and perform tasks before deployment into production settings.

The two announcements show how Taiwan’s robotics sector is moving beyond conventional automation toward systems that combine perception, AI, and physical manipulation. Taiwanese manufacturers are trying to make robots that can act with more flexibility inside the environments where industrial work already happens.

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