The humanoid robot YYForce and its training process with VLA debut in the new media program "Meeting AI"
PR Newswire
1h ago
Ai Focus
YYForce stated that its humanoid robot training project recently made an appearance in a television program produced and broadcast by New Media in Singapore. The program demonstrated the Unitree G1 humanoid robot, remote human control, as well as the visual-language-action (VLA) AI training process, and also introduced the company's plans for a future workforce solutions platform.
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Singapore, November 9 (Reuters) / PRNewswire / -- YYForce Inc. (Nasdaq ticker: YFOR) (hereinafter referred to as “YYForce” or “the Company”) announced today that its humanoid robot training project has made an appearance in a special television program produced and broadcast by Singapore's New Media (Mediacorp). YYForce is a technology-driven company that provides labor solutions and comprehensive facility management services.

This special topic was broadcast on November 6, 2026, in the technology and current affairs program "Meeting AI" ( Meeting AI ) on New Media 8world, with the title of each episode being " AI Can You Learn It in One Lesson?"

The full program can be watched at YouTube: https :// youtu.be / QdH6VVlspYI.

This episode was hosted by experienced host Zhang Haijie, who provided the audience with an in-depth look at emerging humanoid robot technology and its actual commercial training processes. During the program, the host personally participated in a remote control demonstration with the Unitree G1 humanoid robot, using a VR head-mounted display device as well as five precision tracking sensors installed on the head, hands, and feet. This system maps human movements and speeds in real-time to the robot, and records joint angles, kinematic positions, and visual camera footage to construct a high-fidelity physical AI training dataset.

The key technical processes demonstrated in the program include:

  • Human Demonstration and Kinematic Recording: Human operators repeatedly demonstrate standard physical tasks, collecting joint movements and visual images without the need for manual coordinate annotation.
  • Data cleaning and filtering: Organize and filter the trajectory records and sensor streams to eliminate samples with abnormal execution and poor performance.
  • Visual-Linguistic-Action (VLA) Training: The program demonstrates that to teach a humanoid robot to autonomously recognize, grasp, and move a cup, it requires 40 instances of manual demonstration and data cleaning. Subsequently, about 8 hours of neural network training on an advanced (VLA) model are needed before the robot can perform the task autonomously.

The program illustrates the reality behind embodied artificial intelligence: to enable service robots to operate efficiently and safely in unstructured, real-world business environments, it is first necessary to start with structured learning from frontline human employees.

Introducing robots into real service scenarios

YYForce is formulating its robotics strategy around actual commercial applications, rather than just robot demonstrations. The company is exploring the use of humanoid robots and specialized robots in hotels, comprehensive facility management, commercial cleaning, delivery, security, and other labor-intensive service environments.

The robot projects of YYForce include the training and data collection of humanoid robots for hotel room and bathroom cleaning, as well as hotel service applications, in addition to specialized commercial robots used for cleaning, delivery, and other operational functions.

The company believes that combining human employees with the AI empowered systems and robots could create a new model of labor deployment: technology would handle repetitive, standardized tasks that require physical strength, while human employees would focus on jobs that require communication, judgment, and customer interaction.

Build infrastructure for human-computer collaboration

YYForce is developing relevant capabilities to support the broader application of robots in real service environments. In Singapore, the company has established robot demonstration and training facilities, where humanoid robots and specialized service robots can be displayed, trained, and evaluated for different operational scenarios.

These measures are aimed at helping YYForce understand how to integrate robotics technology into existing labor and facility management operations, while also cultivating the skills and operational processes required for future deployments.

Management Commentary

YYForce CEO Mike Fu indicates:

From labor providers to future labor solution platforms

This special issue of New Media reflects the broader transformation of YYForce: the company is shifting from its traditional labor and facilities services business to a technology-driven future labor solutions platform.

According to the company's YYForce 2030 vision, YYForce is building an ecosystem that integrates the following elements:

  • Labor force and the ability to employ staff on demand;
  • Artificial intelligence and labor technology;
  • Humanoid robots and dedicated service robots;
  • Robot training, data collection, and operational deployment;
  • Internet of Things, sensor technology, and smart building technologies; as well as
  • YYForce's 24iFM Integrated Facility Management Platform.

The company's long-term goal is to enable human employees, AI, and robots to work together within an interconnected service delivery ecosystem.

Regarding YYForce Inc.

YYForce Inc (Nasdaq ticker: YFOR) is a technology-driven company that provides labor solutions and comprehensive facilities management services. The company is building a future-oriented labor ecosystem that integrates human talent, artificial intelligence, humanoid and service robots, Internet of Things technology, and digital facilities management platforms.

Through its labor force operations, comprehensive facility management capabilities, the 24iFM platform, and emerging robotics projects, YYForce aims to support the transition towards a service delivery model that is empowered by technology and features human-machine collaboration.

For more information, please visit: www.yyforce.ai.

Forward-looking Statements

This press release contains forward-looking statements referred to in Section 27A of the Securities Act of 1933 (as amended) and Section 21E of the Securities Exchange Act of 1934 (as amended). These statements are based on the company's current expectations, assumptions, and information available as of the date of this press release. Forward-looking statements can be identified by the words “may”, “will”, “should”, “expects”, “anticipates”, “plans”, “intends”, “believes”, “estimates”, “potential” and their negative forms.

Forward-looking statements in this press release include, but are not limited to, YYForce's strategy and 2030 vision, the development, training, integration, and commercial adoption of its AI and robotics solutions (including humanoid robots and human-robot collaboration), as well as customer needs, investment priorities, and operational goals.

Forward-looking statements involve inherent risks and uncertainties, and the forward-looking events discussed in this press release may not occur. Actual events and results may differ significantly and are subject to risks, uncertainties, and assumptions related to the company and various factors. For a more detailed discussion of risk factors, please refer to the documents submitted by the company to the U.S. Securities and Exchange Commission, including the “Risk Factors” section in the company’s most recent revised 20-F annual report. Except as required by applicable laws, YYForce assumes no obligation to update these statements.

The information contained in this press release or that can be obtained through new media broadcasts, as well as any information from websites cited in this press release, does not constitute a part of this press release and is not incorporated into it.

Investor Relations Contact Person

YYForce Inc.

Investor Relations Department
Email: [ email protected ]
Website: www.yyforce.ai

Media and Corporate Affairs

YYForce Inc.

Email: [ email protected ]

Broadcast video: Watch at YouTube.

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