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Humanoid robots don't need to look human. Meet Eno, our first general-purpose robot. Not a machine pretending to be human, but intelligence given a body. At Genesis, we’re building a future where robots don’t feel cold or distant, but capable, calm, and ready to help. Available Q4 this year.

Genesis AI

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svt is telling us that they’re proud of their music combinations (classic and tech) but, they emphasize that the real maestro, who gives “command” in music is HUMAN! [EXPLANATION — 1] watch the clip where after wonjun fighting the human robots, maestro hoshi got captured jeonghan then made those human robots flew away and svt taking over the stage (previously occupied by robots) • the human robot soldiers get a notice “moving too fast”. this shows that human, are more capable than tech/robots (in this case, artistry) • notice that the dancers using robotic hands, shows the tech is a “tool” to help human, but the control is still in human itself

svt is telling us that they’re proud of their music combinations (classic and tech) but, they emphasize that the real maestro, who gives “command” in music is HUMAN! [EXPLANATION — 1] watch the clip where after wonjun fighting the human robots, maestro hoshi got captured jeonghan then made those human robots flew away and svt taking over the stage (previously occupied by robots) • the human robot soldiers get a notice “moving too fast”. this shows that human, are more capable than tech/robots (in this case, artistry) • notice that the dancers using robotic hands, shows the tech is a “tool” to help human, but the control is still in human itself

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Tomorrow’s Science, Today’s Robot A humanoid robot is a type of robot designed to look and act like a human being. It usually has a body structure with a head, torso, arms, and legs, and may be programmed to walk, talk, or perform tasks similar to humans. Some humanoid robots are made mainly for research and testing, while others are used in healthcare, customer service, education, or entertainment. Advanced ones even use artificial intelligence (AI) to recognise speech, facial expressions, and interact naturally with people.

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Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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At Davos, Elon Musk predicted a not-too-distant future where helpful robots could outnumber people. I know the thought can feel unsettling to many, but if robots & AI handle tasks I don't enjoy, maybe that'll free up more time for praying & quality family moments. I’d like to envision a future where technology delivers the freedom to focus on the truly meaningful parts of life.

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Elon Musk: Optimus is awesome! “Something that's going to be very important in the future is combining deep AI in the data center or supercluster with robotics, like the Optimus humanoid robot. Optimus is awesome! There's going to be so many humanoid robots and robots of all sizes and shapes. But my prediction is that there will be more humanoid robots by far than all other robots combined by maybe an order of magnitude, like a big difference.” Interview at Y Combinator, June 16, 2025

Elon Musk: Optimus is awesome! “Something that's going to be very important in the future is combining deep AI in the data center or supercluster with robotics, like the Optimus humanoid robot. Optimus is awesome! There's going to be so many humanoid robots and robots of all sizes and shapes. But my prediction is that there will be more humanoid robots by far than all other robots combined by maybe an order of magnitude, like a big difference.” Interview at Y Combinator, June 16, 2025

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No uncanny valley,just ultra-humanlike robots that feel natural. Hangzhou-based AheafFrom isn’t just building emotional humanoid robots, but replicas of future humans. They collaborate with artists to craft beautiful appearances, powered by CharacterMind, a system that gives robots “emotions.” It understands tone, expressions, and gestures, then responds with voice, facial expressions, eye contact, and body language,making interactions feel like talking to a real person.

No uncanny valley,just ultra-humanlike robots that feel natural. Hangzhou-based AheafFrom isn’t just building emotional humanoid robots, but replicas of future humans. They collaborate with artists to craft beautiful appearances, powered by CharacterMind, a system that gives robots “emotions.” It understands tone, expressions, and gestures, then responds with voice, facial expressions, eye contact, and body language,making interactions feel like talking to a real person.

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We’ve all seen videos of humanoid robots performing single tasks that are very impressive, like dancing or karate. But training humanoid robots to perform a wide range of complex motions is difficult. GMT is a general-purpose policy which can learn a wide range of robot motions. Watch Episode #32 of RoboPapers, with Zixuan Chen , co-hosted by Michael Cho - Rbt/Acc and Chris Paxton , to learn more.

We’ve all seen videos of humanoid robots performing single tasks that are very impressive, like dancing or karate. But training humanoid robots to perform a wide range of complex motions is difficult. GMT is a general-purpose policy which can learn a wide range of robot motions. Watch Episode #32 of RoboPapers, with Zixuan Chen , co-hosted by Michael Cho - Rbt/Acc and Chris Paxton , to learn more.

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