Filming Daily Chores Emerges as Key to Training Future Home Robots
Science & Technology ı By Tyler Brooks
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How robots are trained
Traditionally, robots have been trained through manual control systems, a method that relies on expensive hardware. More recently, developers have turned to virtual simulations, though those often fall short when it comes to handling real-world objects.
“With data it’s always a trade-off between quality and quantity,” said Alicia Veneziani, vice president of market expansion at Sharpa, a Singapore-based robotics company focused on robotic hands.
Governments are also investing heavily in the sector. China, for example, has announced plans to establish at least 60 robot training centers. Most humanoid robots produced there so far have been used primarily for research and training purposes, according to industry analysts.
In recent months, companies have increasingly embraced human-generated footage as a cost-effective alternative. The approach requires only basic recording equipment — such as action cameras, smart glasses or smartphones — and hourly wages that vary widely by region.
“The idea here is: Okay, I don’t want the robot doing the task. I want the people doing the task,” one analyst said. “This way, you don’t need to pay for the robots, you just need to pay for the equipment and the people.”
Different regions are experimenting with similar strategies. Japan and South Korea have adopted models resembling China’s data collection centers, often outsourcing work to Southeast Asia to reduce costs. Meanwhile, companies in the United States and Europe tend to favor simulation-based approaches supported by advanced chipmakers.
Still, combining methods appears to yield better results. A February report found that integrating more than 20,000 hours of first-person video significantly improved robot performance in tasks such as folding clothes, sorting cards and opening containers.
“If you rely on just one way of data collection, it’s probably not the best approach,” the analyst said. “In the future, it will be a mixture of different approaches.”
The final hurdle
A major breakthrough in robotics came several years ago with the rise of large language models, which enabled systems to translate visual input into physical actions. This allowed robots to move beyond repetitive programming and begin interacting with their surroundings more dynamically.
Companies are now expanding human data collection into industrial settings, particularly in countries like India. Experts say prioritizing such data is essential in the near term, though its dominance may eventually decline as simulation tools improve or new methods emerge.
“Even robotics labs are feeling like they don’t know what data will be needed 12 months from now,” one industry executive said.
One of the biggest challenges remains the unpredictability of home environments, where objects, furniture and people are constantly shifting.
“What’s really missing is a human-like intuition of forces, friction, and uncertainty that people acquire throughout their lifetime,” said Rutav Shah, a researcher at the University of Texas at Austin. “Making robots generally useful for everyday household tasks like cooking, cleaning, that is going to be the last mile of automation.”
So far, humanoid robots have largely been limited to controlled settings such as factories, where success rates can reach 99.9%, according to the International Federation of Robotics. However, even relatively simple tasks like folding clothes still fall short of commercial reliability.
“The probability that it will succeed is usually around 70 or 80%. Coming from manufacturing, that’s really not something that our industry partners want to use,” said Alexander Verl, the organization’s research chairman.
Safety concerns also remain a significant barrier. Rajalingam noted that robots must be able to distinguish between objects with precision, particularly in sensitive environments.
“If the robot takes my baby and puts it in a bin, here comes the million-dollar lawsuit,” he said.
While such scenarios remain hypothetical, early testing has already begun in less risky settings.
Testing robots with babies is still a long way off, Rajalingam said. However, he added, they have already started with dogs.
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