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🚨 UNCANNY VALLEY: “FOLDING LAUNDRY IS STILL UNSOLVED” Rajat Bhageria explains why specialized, high-use robots are more practical than general-purpose bots trying to do everything. Founder of Chef Robotics, Rajat Bhageria: “Already, just to do chef, a robot needs to handle any ingredient, any cut, any cooking state. That’s... show more

Mario Nawfal

2,277,686 subscribers

32,264 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 5

Фото профиля max acs

max acs1 год назад

@RajatBhageria @ChefRobotics He has a point tho

Фото профиля Eddy 💹🧲

Eddy 💹🧲1 год назад

@RajatBhageria @ChefRobotics It's a very good point of view

Фото профиля Degens Journal

Degens Journal1 год назад

@RajatBhageria @ChefRobotics Good video brother

Фото профиля Anonymous

Anonymous1 год назад

@RajatBhageria @ChefRobotics It is true. When robots are faced with some difficult actions, they still need human assistance. This not only does not save time and manpower, but is also a waste of resources.

Фото профиля Nairebis - e/max-acc

Nairebis - e/max-acc1 год назад

@RajatBhageria @ChefRobotics What? Optimus was folding laundry a year and a half ago. Presumably it's even better now.

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I saw a glimpse of the robots at the ongoing International Cultural Industries Fair in Shenzhen — playing piano, competing at chess, dancing, boxing, playing ping-pong, and even brewing fresh coffee. Yet these entertaining performances are only a small fraction of what they can do. Robots are everywhere in Shenzhen — patrolling subway stations, serving popcorn in cinemas, moving materials on production lines, even folding laundry in eldercare. A robust industry powers such widespread adoption: over 1,000 core robotics companies, a 200 billion RMB industrial chain, and nearly all components available locally — half within 10 km, 80% within 40 km. Shenzhen even hosts the world’s first robot 6S stores. From production lines to culture fairs, robots have quietly woven into daily life — yet seeing them perform live, with creativity and charm, still amazes.

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650,995 просмотров • 1 месяц назад

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Patrick OShaughnessy

133,833 просмотров • 3 месяцев назад

Robot trained entirely in simulation! 🤯 Sudo AI just released #sudo R1. This could be the moment the data bottleneck in robotics finally breaks, a major step forward for getting simulation-trained robots to actually work in the real world. #sudo R1 is a manipulation foundation model that reliably picks objects it has never seen: glass, fabric, metal, irregular shapes. All with zero real-world training data. No tele-op. No demos. No manual labeling. Pure simulation. And picking isn't just any skill, it's the foundation. Almost everything we want robots to do starts with being able to reliably pick something up. Data collection is the bottleneck holding the whole field back. Every new task means hours of tele-op and armies of labelers. If simulation alone can actually deliver production-grade picking, that bottleneck starts to disappear. Really exciting to see! If the results hold, the path to general-purpose robots just got a whole lot shorter. 👇 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robot trained entirely in simulation! 🤯 Sudo AI just released #sudo R1. This could be the moment the data bottleneck in robotics finally breaks, a major step forward for getting simulation-trained robots to actually work in the real world. #sudo R1 is a manipulation foundation model that reliably picks objects it has never seen: glass, fabric, metal, irregular shapes. All with zero real-world training data. No tele-op. No demos. No manual labeling. Pure simulation. And picking isn't just any skill, it's the foundation. Almost everything we want robots to do starts with being able to reliably pick something up. Data collection is the bottleneck holding the whole field back. Every new task means hours of tele-op and armies of labelers. If simulation alone can actually deliver production-grade picking, that bottleneck starts to disappear. Really exciting to see! If the results hold, the path to general-purpose robots just got a whole lot shorter. 👇 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

25,718 просмотров • 2 месяцев назад