Mohamad Dunggio recently strapped a mobile phone to his head and recorded himself doing his dishes over and over again for four hours.
Mr Dunggio is one of the thousands of gig workers around the world feeding the robotics industry's insatiable demand for training data.
Mr Dunggio said he was paid by three companies from Argentina, India and the US between $US3 and $US10 an hour to record himself performing tasks like dishwashing, cleaning, cooking, making the bed, ironing, folding clothes and sweeping.
Dana Kulić, a robotics professor at Monash University, said that for robots to navigate the large variety and complexity of people's homes they needed to learn how to observe and react to their environments.
Mr Bruccoleri said the company could collect around 60,000 hours of video per month from as many as 5,000 contributors all over the world, including India, Canada, the US, Brazil, Mexico and the Philippines.
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Mr Bruccoleri said the company could collect around 60,000 hours of video per month from as many as 5,000 contributors all over the world, including India, Canada, the US, Brazil, Mexico and the Philippines. The company was focused on wealthier countries like the US and Canada, where the robots were likely to be sold initially.
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Mohamad Dunggio recently strapped a mobile phone to his head and recorded himself doing his dishes over and over again for four hours.
"I think it's OK because I exchange my time to earn money," said the 23-year-old from Gorontalo on Sulawesi in Indonesia.
Mr Dunggio is one of the thousands of gig workers around the world feeding the robotics industry's insatiable demand for training data.
Since April he has been earning extra cash making "egocentric training" videos, used to teach robots how to do things like household chores.
Mr Dunggio said he was paid by three companies from Argentina, India and the US between $US3 and $US10 an hour to record himself performing tasks like dishwashing, cleaning, cooking, making the bed, ironing, folding clothes and sweeping.
As the recent World Humanoid Robot Games in China showed, robots have been advancing in literal leaps and bounds in recent years.
Dana Kulić, a robotics professor at Monash University, said that for robots to navigate the large variety and complexity of people's homes they needed to learn how to observe and react to their environments.
Professor Kulić said robotics researchers were using egocentric data in a way similar to how generative AI researchers taught large language models like ChatGPT to predict the next word or letter in a sentence.
Mr Bruccoleri said the company could collect around 60,000 hours of video per month from as many as 5,000 contributors all over the world, including India, Canada, the US, Brazil, Mexico and the Philippines.
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