Artificial human-like robots are gradually closing the gap in intelligence with sophisticated AI technology.
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In the world of technology, the race to develop humanoid robots is heating up, with companies across the globe making significant strides. However, as recent events have shown, the path to human-like robots is fraught with challenges.
One of the most talked-about performances in recent times was Boston Dynamics' appearance on "America's Got Talent". Their Spot robots danced in synchrony to a Queen song, demonstrating their agility and coordination. Yet, mid-routine, one of the robots broke down, highlighting the difficulties in this field. Simon Cowell, a judge on the show, commented that the breakdown made it more interesting, as it underscored the challenges that still need to be addressed.
Meanwhile, in the realm of robotics, Aadeel Akhtar, CEO and founder of Psyonic, gained international attention after appearing on the U.S. television show "Shark Tank". Akhtar's company is working on a bionic hand that offers sensory feedback, aiming to close the gap between prosthetics and robotics.
Across the Atlantic, Ken Goldberg, a professor at the University of California, Berkeley, suggested combining old-fashioned engineering with real-world training to catch up with AI's progress. He proposed that robots should collect data as they perform useful work, such as driving taxis and sorting packages.
On the other side of the world, Chinese companies are increasingly showcasing their humanoid robots at public events, while U.S. rivals mostly stick to polished videos. In August, Chinese companies held the first Humanoid Robot Games, gathering experts and developers.
However, a recent article in Science Robotics revealed that humanlike robots are roughly 100,000 years behind AI in learning from data. Minas Liarokapis, a Greek academic and startup founder, predicted that it will take more than 10 years for humanoids to execute tasks with dexterity in a household.
In an effort to bridge this gap, Hon Weng Chong, CEO of Cortical Labs, is developing a biological computer using real brain cells grown on a chip. This innovative technology could potentially teach robots to think and adapt more like humans.
Elon Musk revealed Tesla's Optimus prototype in 2022, which walked stiffly onstage and turned to wave to a cheering crowd. While the prototype was a significant step forward, it also highlighted the current limitations in humanoid robotics.
As the race to develop humanoid robots continues, it's clear that while progress is being made, there are still many challenges to overcome. From the breakdown of a robot on live television to the slow progress in learning from data, it's a field that is both exciting and challenging.
In the words of Liarokapis, humanoids will go to space before entering houses. But with the pace of technological advancement, who knows what the future holds?
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