Robotics firms are shifting from spectacular demonstrations to the harder task of making machines safe, dextrous and adaptable enough for everyday household chores.
At a robotics exhibition in Beijing this summer, the most revealing demonstrations were not the crowd-pleasing races or jumps, but the slower routines: making beds, carrying drinks without spilling them and tidying domestic spaces. That shift matters because the next phase of humanoid robotics is increasingly being judged not by spectacle, but by whether machines can cope with the messy, variable demands of ordinary homes. Industry researchers and robotics executives now argue that the sector is moving from concept videos towards practical deployment, although the timeline remains uncertain.
One of the companies pushing hardest into that transition is Dreame Technology, better known for robot vacuums. According to its home-robotics lead, Jianghao Huo, the company’s ambition is to build a machine that can take on the full range of domestic drudgery, from cleaning and laundry to shopping. Dreame says its existing vacuum business, which shipped 1.5 million units in the first quarter, is helping to fund the core artificial intelligence and control systems needed for more capable household robots.
The technical challenge is formidable. Sanjay Sarma, a professor of mechanical engineering at the Massachusetts Institute of Technology, has said home robots are harder to build than factory machines because domestic environments demand far greater dexterity, sensitivity and adaptation. That assessment aligns with wider industry commentary: despite rapid progress in artificial intelligence, analysts and robot makers still point to hands, balance, safety and object recognition as the main bottlenecks. Regulatory concerns, cost and public acceptance are also likely to slow adoption.
Dreame says it is trying to solve those problems through three layers of technology: perception, a world model for understanding the physical environment, and an intelligent control system that turns decisions into movement. In recent demonstrations, the company has shown wheeled machines handling laundry-related chores and monitoring a home, while promising a dual-arm model capable of cleaning table tops and eventually operating appliances such as dishwashers, ovens and air fryers. The company has not disclosed pricing or a commercial launch date.
China’s early lead in humanoid robots gives firms such as Dreame a strong domestic base, and external data suggest the country has dominated shipments so far. Yet the market is still in its infancy. Other companies, including Tesla, Figure AI, Agility Robotics and OpenAI-backed projects, are pursuing the same goal from different angles, often beginning with industrial or logistics settings before moving into the home. For now, the most practical deployments remain limited, and even optimistic executives in the field concede that broad household use is still some years away.
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