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Sunday Robotics unveils its robot for home chores that it expects will eventually sell for $5K to $10K. CEO Tony Zhao says people will be "pleasantly surprised" by how useful the robot is

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18,314 görüntüleme • 9 ay önce •via X (Twitter)

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Sunday Robotics raised $165M to deploy their home robot Memo, but the more interesting story is how they got here. Instead of starting with a robot, they started by putting sensor-equipped gloves into real homes to capture how people actually do chores like dishes, laundry, and cleaning. That data is now what powers Memo. Here’s my conversation with Co-founder & CEO Tony Zhao. 1:34 Why does the world need Sunday? 2:07 What does Sunday get right? 2:37 Hardest part of building a home robot? 3:12 What does the future of robotics look like? 4:54 What is Memo? 5:23 Biggest misconception about robotics? 5:54 What does a successful launch look like? 6:29 $1B valuation pre-launch. How do you handle it? 8:12 What do people underestimate about Sunday? 10:34 Favorite consumer hardware product Tony Zhao Sunday

Sunday Robotics raised $165M to deploy their home robot Memo, but the more interesting story is how they got here. Instead of starting with a robot, they started by putting sensor-equipped gloves into real homes to capture how people actually do chores like dishes, laundry, and cleaning. That data is now what powers Memo. Here’s my conversation with Co-founder & CEO Tony Zhao. 1:34 Why does the world need Sunday? 2:07 What does Sunday get right? 2:37 Hardest part of building a home robot? 3:12 What does the future of robotics look like? 4:54 What is Memo? 5:23 Biggest misconception about robotics? 5:54 What does a successful launch look like? 6:29 $1B valuation pre-launch. How do you handle it? 8:12 What do people underestimate about Sunday? 10:34 Favorite consumer hardware product Tony Zhao Sunday

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Sunday Robotics CEO Tony Zhao believes home robots only need to master a handful of chores before they become indispensable. "What is the minimum number of tasks that a robot needs to do to justify its own existence so that people love having it in their homes? I actually think the list is pretty short. The tasks are pretty repetitive. You just need to learn it and just keep doing that over and over again, like folding shirts or loading dishwashers."

Sunday Robotics CEO Tony Zhao believes home robots only need to master a handful of chores before they become indispensable. "What is the minimum number of tasks that a robot needs to do to justify its own existence so that people love having it in their homes? I actually think the list is pretty short. The tasks are pretty repetitive. You just need to learn it and just keep doing that over and over again, like folding shirts or loading dishwashers."

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A toilet-cleaning robot from Reflex Robotics. The best part is when the robot dries its hands... That might be the future of robots doing chores for us. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A toilet-cleaning robot from Reflex Robotics. The best part is when the robot dries its hands... That might be the future of robots doing chores for us. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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Sunday Robotics' Tony Zhao says they're using gloves worn by people doing household chores to create the dataset they'll use to train their foundation model: “This gives us really high-quality data, but also a really high diversity and quantity of data.”

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Sunday Robotics unveiled its home robot, Memo, a wheeled robot with two arms and pincerlike hands. Training method: Sunday pays remote workers to perform household tasks wearing gloves that resemble Memo's hands. The Mountain View-based company is focused on a full-stack approach, building both hardware and AI models. Beta testing is scheduled to begin next year. Co-founders: - CEO Tony Zhao, ex-Stanford Ph.D. dropout and ex-DeepMind/Tesla, co-created ALOHA project (imitation learning). - CTO Cheng Chi, a Columbia Ph.D., invented the highly-cited work, Diffusion Policy.

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BREAKING: Elon Musk says the Market for Humanoid robots like the Tesla Optimus Robot will be 1 Billion units per year, and Tesla can make $1 Trillion a year selling them. He predicts that they will ultimately sell for around $20,000 at a cost of $10,000, and Tesla will take at least a 10% market share of the humanoid robot market. Pretty impressive and the world is about to change. Musk believes that there will be at least 1 robot per human and perhaps much more than that.

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Recap of Tesla's We, Robot event: Cybercab: - Will cost around $30,000 - Operating cost of about $0.20 a mile - Will have robotic cleaning and wireless charging - Will be able to make money for people on its own - In production before 2027 Optimus Robot: - Will cost between $20,000 and $30,000 - Will be used to complete tasks and chores - Can talk like humans and move like humans - Expected to be ready by 2025 Robovan: - Autonomous bus - Can transport up to 20 people - Can also be used to transport goods - No current timeline

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We might be solving the wrong problem in robotics. That’s what this makes clear. UMI → Universal Manipulation Interface A simple $400 gripper that lets you teach robots by demonstration. You hold it like a tool. Show the task. The robot learns. No teleoperation. No expensive hardware. No robot-specific data. Stanford open-sourced everything → hardware, code, datasets. What stands out to me is the bottleneck. Not algorithms. Data. Teleoperation → ~35 demos/hour UMI → ~111 demos/hour And the data transfers across robots → UR5, Franka, others. The design is surprisingly practical: → GoPro fisheye lens (155° FOV) + mirrors for depth → SLAM + IMU for precise 6DoF tracking → latency matching for dynamic tasks → diffusion policies for multimodal actions Then it scales. Cheng Chi takes this further with Sunday Robotics (with Tony Zhao). A $200 glove → deployed in 500+ homes → ~10 million real-world interactions. Not lab data. Real human behavior. Their robot learns dishes, laundry, espresso → with zero robot-specific data. This is where the shift becomes obvious. From training robots in controlled environments → to learning directly from humans at scale So here’s the real question: Will robotics be unlocked by better models… or by unlocking data? #ArtificialIntelligence #Robotics #AI #Innovation #FutureOfWork

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for anyone skeptical how amazing humanoid robot fights will get, watch this. ya'll about to be super surprised how fast this gets into holy sh!t territory.

for anyone skeptical how amazing humanoid robot fights will get, watch this. ya'll about to be super surprised how fast this gets into holy sh!t territory.

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