Techman Robot Collaborates with NVIDIA to Bring Together Taiwan's Leading Humanoid Robotics Research Community
Six leading universities convene at the TM Academy VLA Workshop as Techman Robot's Dual AI Engines bridge frontier research and industrial deployment
2026-08-25
TAIPEI, Taiwan, August 21, 2026 - Techman Robot (TWSE: 4585.TW) announced that TM Academy collaborated with NVIDIA to host the Humanoid Robotics VLA Research Workshop on August 21 during Automation Taipei. Bringing together leading universities engaged in humanoid robotics research across Taiwan, the event underscores Techman Robot's growing role as a key platform connecting global AI technologies, top academic research, and industrial applications, while highlighting its leadership in Taiwan's humanoid robotics and Physical AI landscape.
Six Leading Universities Convene, Underscoring Techman Robot's Leadership in Humanoid Robotics
Participating institutions include National Taiwan University (NTU), National Taipei University of Technology (Taipei Tech), National Yang Ming Chiao Tung University (NYCU), National Central University (NCU), National Cheng Kung University (NCKU), and National Tsing Hua University (NTHU). Together, they represent leading research teams in Taiwan working across humanoid robotics, robot learning, autonomous AI systems, and control. The convergence of these six leading universities on one platform reflects more than the scale of the event; it also demonstrates Techman Robot's influence in humanoid robotics technology, physical robot validation, and industry collaboration.
Techman Robot brings together integrated capabilities spanning robotic hardware, built-in vision, AI software, and industrial deployment. This enables the company to provide academic research teams with the technologies and application environments required to move frontier models toward validation on physical robots. By extending its R&D platform into the academic ecosystem, Techman Robot is becoming an important convergence point between humanoid robotics research and industrial deployment in Taiwan.

VLA: The Key to Moving from Research Models to Physical Validation
Building on the physical systems and validation environment provided by Techman Robot, the workshop focuses on Vision-Language-Action (VLA) and explores how frontier models can move from the laboratory to physical robots. VLA models connect visual observations, natural-language instructions, and action outputs, enabling robots to move beyond fixed programs to understand their surroundings, interpret tasks, and generate appropriate actions. For humanoid robots, VLA is a key technology pathway linking perception, reasoning, and control, and a core area of research for operation in complex, unstructured environments.
However, training a model in simulation does not guarantee that it can be deployed directly on a physical robot. Sensor errors, actuation latency, environmental variability, and safety requirements can all contribute to the Sim-to-Real gap. At the workshop, Techman Robot and NVIDIA share the latest developments and application trends in AI for humanoid robotics. The program also focuses on the complete workflow from simulation to real-robot deployment, addressing key challenges in data, model training, system integration, and physical validation.
Dual AI Engines Accelerate Research Deployment
Techman Robot's humanoid robotics initiative is not a standalone product effort; it is part of the company's Dual AI Engines strategy. Through a shared AI Robotics architecture and development framework, Techman Robot connects its AI Cobot platform with the TM Xplore I humanoid robot as two robotic platforms built to share a common intelligence layer. AI vision, VLA, and robot learning capabilities developed on humanoid platforms can also be progressively extended to mature AI Cobots and existing production lines.
Humanoids expand the future of Physical AI, while AI Cobots make Physical AI deployable today. This cross-platform capability enables Techman Robot not only to participate in frontier humanoid robotics research, but also to turn research outcomes into verifiable, deployable industrial applications, creating a complete path from technology development and physical validation to industrial adoption.
“The competitive edge in humanoid robotics is not defined by robot form factor alone. It lies in how quickly robots can learn new tasks and how reliably they can be deployed in real-world environments. The participation of research teams from six leading universities in this Techman Robot-led initiative demonstrates the accelerating convergence of Taiwan's humanoid robotics research community. By connecting humanoid robots and AI Cobots through a shared AI Robotics architecture, Techman Robot aims to move frontier research beyond the lab and translate it more quickly into industry-ready Physical AI capabilities.”
- Scott Huang, Chief Operating Officer, Techman Robot
TM Academy Expands Its Industry-Academia Platform to Advance Taiwan's Physical AI R&D
TM Academy has long focused on industry needs through smart manufacturing competitions, competency certification, teacher training, and international industry-academia collaboration. The Humanoid Robotics VLA Research Workshop extends the platform from technical education and industrial applications into frontier research, leveraging NVIDIA technologies, and connecting research teams from six leading universities and Techman Robot's R&D capabilities. Going forward, TM Academy will continue to connect global technologies, academic talent, and industrial application environments to strengthen Taiwan's R&D and deployment capabilities in humanoid robotics and autonomous AI systems.
About TM Academy
TM Academy is the education platform of Techman Robot's Global Training and Industry-Academia Collaboration Center. Based on industry needs, it develops competency standards, learning pathways, official training programs, and professional certification for robotics and automation talent. It also connects schools, educators, and industry partners worldwide to advance teaching, hands-on practice, and knowledge exchange in smart manufacturing and AI robotics.







