YYForce’s Humanoid Robotics Training Featured on Mediacorp’s Meeting AI
Singapore television programme demonstrates Unitree G1 robot training, human-led teleoperation and Vision-Language-Action technology

Humanoid Robotics training by YYForce features the Unitree G1 at Mediacorp’s Meeting AI programme.
YYForce Inc. (Nasdaq: YFOR), a technology-enabled workforce solutions and integrated facility management provider, has announced that its humanoid robotics training initiatives featured in a television programme produced and broadcast by Singapore’s Mediacorp.
The feature aired on November 6, 2026, on Mediacorp 8world’s technology and current affairs programme Meeting AI. The episode, titled “Can AI Learn in Just One Lesson?”, explored how humanoid robots learn physical tasks through human demonstrations and artificial intelligence training.
Hosted by presenter Zhang Haijie, the programme offered a practical demonstration of the Unitree G1 humanoid robot. Zhang operated the robot through a teleoperation system using a virtual reality headset and five tracking sensors attached to the head, hands and feet.
The system translated human movements and speed into real-time robot actions. It also recorded joint angles, movement positions and camera feeds to create training datasets for physical AI.
How Human Demonstrations Train Humanoid Robots
The broadcast demonstrated three main stages in YYForce’s robotics training workflow.
Human demonstration and motion recording: Human operators repeatedly perform physical tasks while the system captures movements, joint actions and visual information. This process reduces the need for manual coordinate tagging.
YYForce’s Humanoid Robotics Training Featured on Mediacorp’s Meeting AI
Data cleaning and filtering: Engineers review recorded movements and sensor data. They remove execution errors and unsuitable samples to improve the quality of training datasets.
Vision-Language-Action training: The programme demonstrated how the robot learned to identify, grasp and move a cup. According to the company, the task required 40 human demonstrations, data cleaning and approximately eight hours of neural network training using advanced Vision-Language-Action (VLA) models.
The demonstration highlighted an important aspect of embodied AI: robots need structured training from human experience before they can perform tasks reliably in complex commercial environments.
YYForce Explores Robotics for Hospitality and Facility Management
YYForce is exploring humanoid and specialised robotics for practical applications across hospitality, integrated facility management, commercial cleaning, delivery and security.
Its initiatives include training humanoid robots to perform tasks such as hotel-room and restroom cleaning. The company is also developing applications for hospitality services and specialised commercial robots.
YYForce believes human workers and AI-enabled systems can complement each other. Robots could handle repetitive, standardised and physically demanding tasks, while employees focus on communication, judgement and customer interaction.
Building Capabilities for Human-Robot Collaboration
The company is developing robotics demonstration and training capabilities in Singapore. These facilities allow it to showcase, train and evaluate humanoid and specialised service robots across different operational scenarios.
Through these initiatives, YYForce aims to explore how robotics can integrate with existing workforce and facility-management operations. It also seeks to develop the skills and processes required for future commercial deployment.
Management Highlights Practical Applications of Physical AI
YYForce Chief Executive Officer Mike Fu said the Mediacorp feature offered an opportunity to demonstrate how robotics technology is moving towards practical applications.
He said robots must learn from human experience before they can operate reliably in commercial environments.
“Our vision is not about replacing people with robots. We are building toward an operating model where people, AI, humanoid robots and specialised service robots can work together, with each performing the functions where they can create the greatest value,” Fu said.
He identified hospitality and facility management as practical environments for developing these capabilities. Both sectors involve repetitive physical activities and a wide range of service-oriented tasks.
Fu described the training methodology as an important part of the company’s YYForce 2030 Vision and its plans for the future of work.
YYForce Advances Its Future Workforce Strategy
The Mediacorp feature reflects YYForce’s broader strategy to expand beyond traditional workforce and facility services towards a technology-enabled workforce solutions platform.
Under its YYForce 2030 Vision, the company aims to combine several capabilities:
- Human workforce and on-demand staffing services
- Artificial intelligence and workforce technology
- Humanoid robots and specialised service robotics
- Robotics training, data collection and operational deployment
- Internet of Things (IoT) devices, sensors and smart-building technologies
- The 24iFM integrated facility management platform
The long-term objective is to create a connected service-delivery ecosystem where human workers, AI and robotics operate together.
YYForce Inc. provides workforce solutions and integrated facility management services. The company is developing a future workforce ecosystem that combines human talent, AI, robotics, IoT technologies and digital facility-management platforms.
