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YYForce AI Humanoid Housekeepers to be trained in Novotel Hotel

The development-stage program requires hardware adaptation and controlled testing before demonstrations can translate into robot capabilities.

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Rhea-AI Sentiment reads the wording of the document, how positive or negative its language is on a 1 to 5 scale. The balance of points shown with the takes weighs what the document actually discloses, so the two can disagree, for example when a trial that missed its main goal is described in upbeat language.

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YYForce (NASDAQ: YFOR) acquired 20 wearable data collection systems to support its humanoid robotics development program through planned housekeeping demonstrations.

The company plans to deploy the equipment with the housekeeping team at Novotel Singapore on Stevens, initially recording selected hospitality workflows to build a task-specific dataset for robot learning and evaluation. Translating demonstrations into robot capabilities will require processing, adaptation to selected robotic hardware and controlled testing. Initial evaluation will focus on task completion, repeatability and safe execution. YYForce expects collection arrangements to address required consent, guest privacy, access controls and permitted recording uses before recording begins. The program remains development-stage; acquiring systems and collecting demonstrations do not establish autonomous capabilities or commercial readiness.

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Positive

  • Minor point20 wearable data collection systems acquired to support YYForce’s humanoid robotics development program.
  • Minor point. Forward-looking: it has not happened yet and may not happen.Planned Novotel Singapore on Stevens initiative will collect housekeeping demonstrations for robot learning research and task evaluation.

Negative

  • Minor pointDevelopment-stage program does not establish autonomous humanoid capabilities or readiness for commercial deployment.
  • Minor point. Forward-looking: it has not happened yet and may not happen.Translation into robot capabilities requires additional processing, hardware adaptation and controlled testing.
  • Minor point. Forward-looking: it has not happened yet and may not happen.Recording arrangements are expected to address required consent, guest privacy, access controls and permitted uses before collection begins.
Argus 15 min delay 8 alerts
-5.18% vs previous close $0.34 last price 5.1x rel. volume Open Argus
Details

Market move: YFOR -5.18% vs previous close. humanoid training equipment acquisition

-8.2% Trough in 33 min
$0.34 – $0.37 Day Range
$2.67M Mkt Cap at Last Price

On Oct 20, the day this news came out, the latest delayed price for YFOR is 5.18% below the previous close. Argus tracked a trough of -8.2% from its starting point during tracking. Our momentum scanner has recorded 8 alerts for this stock so far that day. The latest delayed price is $0.34. Relative volume is exceptionally heavy at 5.1x the average.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Gold for real-time data.

Key Figures

Wearable data collection systems: 20 systems
Wearable data collection systems
20 systems
Acquired for the humanoid robotics development program

Key Terms

egocentric cameras, vision-language-action (vla) models
2 terms
egocentric cameras technical
"head-mounted egocentric cameras and synchronized wrist-mounted cameras"
Wearable cameras mounted on a person (for example on glasses, a headband, clothing or a chest harness) that record video or still images from the wearer’s point of view; they capture what the user sees and does in first-person perspective, often continuously or triggered by motion or events. Because they record the wearer’s visual field and surroundings, egocentric cameras are used to study behavior, daily activities, workplace tasks or clinical symptoms, but they raise specific practical limits and privacy considerations such as occlusion of parts of the scene, variable image quality as the wearer moves, and capture of bystanders or sensitive information.
vision-language-action (vla) models technical
"including work involving vision-language-action (VLA) models."
Vision-language-action (VLA) models are artificial intelligence systems that can look at images or videos, read and understand text, and take predefined actions based on that combined understanding. For investors, they matter because they can automate tasks like extracting data from charts, reading regulatory filings or product photos, and triggering alerts or workflows—similar to an assistant who can see a chart, read the notes, and press the right buttons—speeding insight while introducing new operational and oversight risks.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Acquires 20 wearable data collection systems to capture real-world housekeeping tasks to support robot learning and development

SINGAPORE, Oct. 20, 2026 (GLOBE NEWSWIRE) -- YYForce Inc. (NASDAQ: YFOR) (“YYForce” or the “Company”), a technology-enabled provider of workforce solutions, integrated facility management and commercial robotics services, today announced the acquisition of 20 wearable data collection systems to support its humanoid robotics development program.

The systems, comprising head-mounted egocentric cameras and synchronized wrist-mounted cameras, are intended to capture first-person views and close-up recordings of human task execution. YYForce plans to deploy the equipment through an initiative with the housekeeping team at Novotel Singapore on Stevens, focusing initially on selected hospitality workflows.

The initiative is designed to build a task-specific dataset documenting how experienced housekeeping personnel perform routine service activities. Following review, annotation and technical processing, the demonstrations are intended to support robot learning research, task development and evaluation, including work involving vision-language-action (VLA) models.

Initial Focus: Housekeeping Demonstrations

Planned data collection will focus on selected tasks, including:

  • Bed and linen preparation: Bed-making sequences, linen handling and pillow arrangement.
  • Towel and amenity organization: Towel folding, placement and replenishment of guest-room supplies.
  • Selected cleaning activities: Surface wiping and handling of cleaning tools and materials.

These demonstrations are intended to capture task sequences, hand-object interactions and variations in real operating environments. Translating human demonstrations into robot capabilities will require additional processing, adaptation to the selected robotic hardware, and controlled testing.

“Access to real operating environments and experienced service teams is an important part of our robotics development strategy,” said Mike Fu, Chief Executive Officer of YYForce. “This initiative will help us document how housekeeping tasks are performed in practice and assess how those demonstrations can support humanoid robot learning. Our focus is on building useful datasets, validating individual tasks and progressing toward practical applications in hospitality and facility services.”

Supporting YYForce’s Workforce and Robotics Strategy

The initiative supports YYForce’s broader strategy of combining workforce expertise, facility management operations and robotics to develop technology-enabled service delivery.

The planned development process includes reviewing recordings for quality, annotating selected tasks, preparing suitable training datasets and evaluating whether the demonstrations improve performance on defined robotic tasks. Initial evaluation will focus on task completion, repeatability and safe execution under controlled conditions.

Data collection is planned to follow agreed hotel operating procedures and applicable data protection requirements. The Company expects that collection arrangements will address participant notification and consent where required, guest privacy, access controls and permitted uses of recorded material before recording begins.

The initiative is a development-stage program. The acquisition of the systems and collection of demonstrations do not, by themselves, establish autonomous humanoid capabilities or readiness for commercial deployment.

About YYForce Inc.

YYForce Inc. (NASDAQ: YFOR) is a technology-enabled provider of workforce solutions and integrated facility management and commercial robotics services. The Company is developing AI-enabled workforce platforms and expanding its commercial robotics capabilities to support customers across hospitality, facilities management and other service industries.

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

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The Company bases these forward-looking statements on its expectations and projections about future events derived from information currently available to it. You can identify forward-looking statements by those that are not historical in nature, particularly those that use terminology such as “may,” “should,” “expects,” “anticipates,” “contemplates,” “estimates,” “believes,” “plans,” “projected,” “predicts,” “potential,” or “hopes” or the negative of these or similar terms. Forward-looking statements include statements regarding planned equipment deployment, data collection, robotics training, technical development and potential commercial applications. These statements are based on current expectations and assumptions and involve risks and uncertainties that could cause actual results to differ materially.

Such risks include equipment performance, data quality and usability, data rights and privacy requirements, collaboration arrangements, technical challenges in transferring human demonstrations to robotic systems, development costs, safety validation and commercial adoption, together with other risks described in the Company’s filings with the U.S. Securities and Exchange Commission, including under “Risk Factors” in its most recent annual report. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date of this press release. YYForce undertakes no obligation to update these statements except as required by law.

Investor Contact
Jason Zhi Yong Phua, Chief Financial Officer
YYForce Inc.
enquiries@yyforce.ai

Investor Relations Contact
Piacente Financial Communications
yfor@thepiacentegroup.com


FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did YYForce acquire for its humanoid housekeeping robot program?

YYForce acquired 20 wearable data collection systems to support humanoid robotics development. The systems combine head-mounted cameras capturing the wearer's perspective with synchronized wrist-mounted cameras recording close-up views of human task execution.

Which housekeeping tasks does YYForce plan to record at Novotel Singapore on Stevens?

Planned recordings cover bed and linen preparation, towel and amenity organization, and selected cleaning activities. Examples include bed-making, linen handling, pillow arrangement, towel folding, replenishing guest-room supplies, surface wiping and handling cleaning tools and materials.

How will YYForce evaluate the housekeeping demonstrations for robot development?

Initial evaluation will focus on task completion, repeatability and safe execution under controlled conditions. The planned process includes reviewing recording quality, annotating selected tasks, preparing training datasets and evaluating whether the demonstrations improve performance on defined robotic tasks.

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