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The humanoid robots SeeLight S1, from the Chinese company GigaAI, will be tested in 100 homes connected to the technology sector before free trials in Wuhan in 2027, with the elderly, children, and pets; the promise is to automate household tasks, but unpredictable homes challenge safety, perception, care with fragile objects, and high cost.
The humanoid robots are leaving technology fairs and trying to enter the most unpredictable environment possible: people’s homes. In China, the startup GigaAI presented the SeeLight S1, a domestic model capable of appearing in videos frying eggs, chopping vegetables, making beds, and doing laundry.
The promise is to transform repetitive tasks into automated routines, but the challenge is much greater than placing a machine on an industrial line. Inside a home, there are children, elderly people, pets, misplaced furniture, fragile objects, and unexpected situations that require more than balance and precise movements.
Chinese domestic robot targets common household tasks
The SeeLight S1 was presented as a domestic humanoid robot designed to perform everyday tasks. The demonstration includes activities such as preparing simple meals, handling clothes, organizing beds, and interacting with common household objects.
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The idea is to bring humanoid robots closer to a routine that until recently seemed restricted to science fiction. Instead of operating only in factories, laboratories, or technology events, the machine attempts to occupy an intimate, disorganized space full of variables.
GigaAI plans to bring the first 100 units to homes in China. This initial phase will not be a broad sale to the public but a pilot program aimed at homes of people connected to the technology sector.
This detail is important because it shows that the company is still testing the technology in a more socially controlled environment, with users probably more accustomed to dealing with new devices.
Initial test will have 100 homes in China
The program with 100 homes functions as an intermediate step between public demonstration and real domestic use. At fairs, a robot can perform rehearsed tasks; in a residence, it needs to deal with non-standard objects and routines that change every day.
This is the point where the house becomes the true test of AI. A dish might be in another cabinet, clothes might be folded irregularly, the bed might have different pillows, and the floor might have toys, wires, shoes, or animals roaming around.
The SeeLight S1 needs to learn to operate in this type of scenario without relying on perfect organization. This requires spatial perception, decision-making, force control, and the ability to react to unexpected movements.
Therefore, testing in real homes is more valuable than a well-edited presentation. It shows whether the technology can move out of the predictable environment and into the common routine of families.
Wuhan is expected to conduct tests with the elderly, children, and animals
The next phase planned by the company involves free tests in Wuhan during the first half of 2027. The proposal is to include families with the elderly, children, or pets.
This choice greatly increases the level of difficulty. The elderly may have reduced mobility, children move unpredictably, and animals can cross the robot’s path at any moment.
In a factory, machines usually operate in defined spaces, with fixed parts, planned routes, and strict safety rules. In a home, the environment changes all the time, and humans do not always follow predictable patterns.
This difference explains why placing humanoid robots inside homes is more complex than making them dance, run, or carry objects in technical demonstrations.
A house is not a factory, and this changes everything
The biggest obstacle for domestic humanoid robots is the very nature of a residence. A house was not designed for robots; it was shaped by human habits, improvisation, clutter, haste, and small unforeseen events.
A machine may know how to pick up a glass, but it needs to understand if that glass is made of glass, if it’s wet, if there’s a child nearby, or if a dog might cross the path. This type of judgment is still difficult.
In the industry, many tasks are repetitive and predictable. At home, the same task is never exactly the same. Doing laundry, making the bed, or preparing food requires constant adaptation.
This adaptation depends on something beyond mechanical strength. The robot needs to interpret context, anticipate risks, and make decisions with a safety margin, especially when there are vulnerable people nearby.
Fragile objects become a test of perception and strength
One of the most delicate challenges is handling fragile objects. Glasses, plates, jars, mirrors, vases, electronics, and kitchen utensils require fine control of pressure and movement.
If the applied force is too high, the object breaks. If it’s too low, it slips away. This balance is simple for humans trained by experience but complex for machines that need to calculate everything in real-time.
The difficulty increases when the object is in an unexpected position. A jar might be at the edge of the table, a knife might be near a cloth, a piece of clothing might cover another item, and a toy might be in the way.
Therefore, the promise of humanoid robots performing household tasks hinges on a central question: can they understand a home as a living environment, not just as a map of obstacles?
Body movement advanced faster than judgment
In recent years, humanoid robots have gained prominence for dancing, jumping, balancing, and performing impressive movements. This shows progress in locomotion, coordination, and stability.
But the intelligence needed to live among humans is different. Moving well does not mean correctly predicting what might happen next.
Inside the house, the robot needs to anticipate consequences. If it opens a door, it needs to know if there is someone behind it. If it carries something hot, it needs to assess the distance from children and animals. If it folds clothes, it needs to recognize fabrics, shapes, and positions.
This type of reasoning requires a combination of AI, sensors, computer vision, and safety rules. The challenge is not just to make the robot move, but to make it act prudently.
Price still limits arrival to the common consumer
Even if technology advances, the price is still a significant barrier. The reported value for the SeeLight S1 is about 200,000 yuan, equivalent to approximately 25,281 euros in the cited conversion.
The company believes that before June 2027, the cost of hardware could drop to 100,000 yuan, about 12,640 euros. Even so, the value would still be far from the reality of many families.
This shows that the first generation of domestic humanoid robots is likely to be limited to specific niches. Mass adoption will depend on price reduction, proven efficiency, and user trust.
Furthermore, the consumer will not only pay for a machine. They will need to believe that the robot truly saves time, does not create new problems, and operates safely near the family.
Domestic humanoid robots still have much to learn
The Chinese test shows that the AI race is entering a more difficult phase. Training models with digital data is one thing. Putting a physical machine to act in a real home is another.
The physical world has errors, disorder, unforeseen events, and immediate consequences. If an AI makes a mistake in a response on a screen, the problem is correctable. If a robot makes a wrong move near a child or knocks over a glass jar, the risk is concrete.
That’s why tests in homes are essential. They allow for observing failures, measuring limits, improving sensors, adjusting movements, and understanding how humans react to the presence of a machine at home.
Before becoming a common product, the domestic robot needs to prove it can be useful without requiring the entire house to adapt to it.
China accelerates the race for AI inside the home
GigaAI’s bet shows that China wants to advance quickly in the domestic humanoid robot market. The goal is not just to demonstrate technology but to create a new product category for everyday tasks.
If successful, this type of robot could change people’s relationship with cleaning, cooking, organization, and domestic care. But the hardest frontier will not be frying eggs; it will be coexisting with humans in a safe, predictable, and truly useful way.
The home is the environment where AI needs to prove maturity. There, there is no perfectly marked factory floor, no objects always in the same position, and no people following industrial protocols.
And you, would you let humanoid robots handle tasks inside your home, near children, the elderly, and pets, or do you still think it’s too early to trust this routine to a machine? Share your opinion.
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