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Hoboken, New Jersey is deploying sidewalk robots These robots will be out traveling the sidewalks to collect data to make sure all the sidewalks are accessible They are equipped with lasers and cameras to detect cracks, uplifts, defects and detailed measurements for ADA compliance and accessibility The robots collect... show more

Wall Street Apes

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44,759 views • 1 day ago •via X (Twitter)

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New food delivery robots are encountering unforeseen obstacles when attempting to make deliveries, America’s crumbling roads and sidewalks These delivery robots encounter sidewalks that haven’t been maintained, they can’t navigate this terrain If the bump is big enough, they stop completely These are Starship Technologies autonomous delivery robots. They have 6 wheels, use cameras, radar, ultrasonic sensors, GPS, and AI machine learning to navigate and they still can’t handle how bad our infrastructure is getting

New food delivery robots are encountering unforeseen obstacles when attempting to make deliveries, America’s crumbling roads and sidewalks These delivery robots encounter sidewalks that haven’t been maintained, they can’t navigate this terrain If the bump is big enough, they stop completely These are Starship Technologies autonomous delivery robots. They have 6 wheels, use cameras, radar, ultrasonic sensors, GPS, and AI machine learning to navigate and they still can’t handle how bad our infrastructure is getting

Wall Street Apes

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Apple gets it. Robots are going to be everywhere, but they won’t look like robots. Check out their new paper ELEGNT. I believe this is the future of everyday objects: helpful and human.

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Nacho Mellado

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I'll tell it like it is: they're lying. Robots are getting better and better, and the goal now is not to support human labor, as suggested in the video, but in the long term they will replace human labor. In a market economy, profit is the only thing that counts, whether you like to criticize that or not. The fact is, however, that robots will be cheaper than human labor and will therefore be preferred. Moreover, robots are getting better and better, they will work longer hours than humans, are less prone to errors, do not fall ill and do not need vacations. They are superior to human labor.

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Chubby♨️

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.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."

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ELON: HUMANOID ROBOTS WILL OUTNUMBER OTHER ROBOTS BY FAR “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.” Source: Interview at Y Combinator, June 2025

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Bernt Børnich says teleoperation data and synthetic data are like a crutch to bootstrap your way to robots learning in the real world.

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Today Mecka is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

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More process films to train AI and Robots on. My unique dataset is the single largest private source of these films. You can’t use synthetic data to learn this. And for a 1000 reasons AI and Robots must learn this.

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a16z

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Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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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

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Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.

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SACKS: THE ROBOTS ARE COMING 🚨🤖 They will be able to do “anything a human is able to do… in the next 5 years.”

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It'll seem obvious in hindsight: the physical internet for robots needs to be open and self-hostable like our digital internet is. Letting tech giants own all the spatial data that robots need will never work. ICYMI this week's absolute must watch 👇

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10,167 views • 5 months ago

Drop the camera, and bang -- the robots do the job without camera calibration or additional data collection. We want robots to manipulate anywhere! Our new work, **Maniwhere**, enables robots to manipulate objects from any camera view with any background. Isn't this the generalization every roboticist is looking for? How do we achieve this with sim2real? You can check this thread from Zhecheng Yuan ! And the website is here:

Drop the camera, and bang -- the robots do the job without camera calibration or additional data collection. We want robots to manipulate anywhere! Our new work, Maniwhere, enables robots to manipulate objects from any camera view with any background. Isn't this the generalization every roboticist is looking for? How do we achieve this with sim2real? You can check this thread from Zhecheng Yuan ! And the website is here:

Huazhe Harry Xu

27,327 views • 2 years ago

Elon Musk: The robots are not the scary part. The scary part is AGI. “The robots are not the scary part. The scary part is AGI, digital superintelligence that far exceeds human intelligence. If there's a digital superintelligence that is just vastly smarter than the smartest human, we could lose control of it, and then it could do something bad. Potentially. These things are just probabilities; they're not certainties. It's not the robots; it's the digital superintelligence to be concerned about.” Source: Interview with The Babylon Bee, December 22, 2021

Elon Musk: The robots are not the scary part. The scary part is AGI. “The robots are not the scary part. The scary part is AGI, digital superintelligence that far exceeds human intelligence. If there's a digital superintelligence that is just vastly smarter than the smartest human, we could lose control of it, and then it could do something bad. Potentially. These things are just probabilities; they're not certainties. It's not the robots; it's the digital superintelligence to be concerned about.” Source: Interview with The Babylon Bee, December 22, 2021

ELON CLIPS

42,729 views • 1 month ago

A McDonald's in Shanghai has begun deploying humanoid robots (from KEENON Robotics) to serve customers. > These humanoid robots provide information, greet guests, and help enliven the atmosphere. > Food delivery robots serve meals to customers and collect used trays. in the future, fully automated, staff-less McDonald's locations may soon become a reality. A single store might require very few human employees, with even the kitchen operations entrusted to intelligent robotic systems. (Of course, the success of this initiative relies heavily on the seamless synergy between AI and digital systems.)

A McDonald's in Shanghai has begun deploying humanoid robots (from KEENON Robotics) to serve customers. > These humanoid robots provide information, greet guests, and help enliven the atmosphere. > Food delivery robots serve meals to customers and collect used trays. in the future, fully automated, staff-less McDonald's locations may soon become a reality. A single store might require very few human employees, with even the kitchen operations entrusted to intelligent robotic systems. (Of course, the success of this initiative relies heavily on the seamless synergy between AI and digital systems.)

CyberRobo

42,444 views • 4 months ago

Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.

Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.

Rowan Cheung

37,696 views • 3 months ago

Why I am avoiding $TSLA: $TSLA bull thesis was based on two assumptions: $TSLA would be exclusive provider of robo-taxi and autonomous robots for at least several years. We see that this is not going to happen. The structure in both industries are evolving similar to computers: A dominant operating system provider with several OEMs. It's clear that $NVDA intends to be that operating system provider in both industries and OEMs are ready to build on its infrastructure. $GM is already collaborating with $NVDA on autonomy and there are formidable competitors in humanoid robots like Figure AI and Boston Dynamics. Though autonomy and humanoid robots are going to be giant markets, it's very unlikely that $TSLA will collect monopoly rents from them.

Why I am avoiding $TSLA: $TSLA bull thesis was based on two assumptions: $TSLA would be exclusive provider of robo-taxi and autonomous robots for at least several years. We see that this is not going to happen. The structure in both industries are evolving similar to computers: A dominant operating system provider with several OEMs. It's clear that $NVDA intends to be that operating system provider in both industries and OEMs are ready to build on its infrastructure. $GM is already collaborating with $NVDA on autonomy and there are formidable competitors in humanoid robots like Figure AI and Boston Dynamics. Though autonomy and humanoid robots are going to be giant markets, it's very unlikely that $TSLA will collect monopoly rents from them.

Oguz Erkan

310,333 views • 1 year ago